[ { "Percentage error": 1, "code_links": [ { "title": "rwightman/pytorch-image-models", "url": "https://github.com/rwightman/pytorch-image-models" }, { "title": "tensorflow/tpu", "url": "https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet" }, { "title": "ildoonet/pytorch-randaugment", "url": "https://github.com/ildoonet/pytorch-randaugment" }, { "title": "etetteh/sota-data-augmentation-and-optimizers", "url": "https://github.com/etetteh/sota-data-augmentation-and-optimizers" } ], "date": "2019-09-30", "date2": 20190930, "model": "WideResNet-28-10", "paper": { "title": "RandAugment: Practical automated data augmentation with a reduced search space", "url": "https://cknow.io/lib/f026cc7a416d939e" }, "paper_data_uoa": "f026cc7a416d939e" }, { "Percentage error": 1.02, "code_links": [ { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/autoaugment" }, { "title": "tensorflow/tpu", "url": "https://github.com/tensorflow/tpu/tree/master/models/official/detection" }, { "title": "tensorflow/tpu", "url": "https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet" }, { "title": "DeepVoltaire/AutoAugment", "url": "https://github.com/DeepVoltaire/AutoAugment" }, { "title": "david8862/keras-YOLOv3-model-set", "url": "https://github.com/david8862/keras-YOLOv3-model-set" }, { "title": "barisozmen/deepaugment", "url": "https://github.com/barisozmen/deepaugment" }, { "title": "etetteh/sota-data-augmentation-and-optimizers", "url": "https://github.com/etetteh/sota-data-augmentation-and-optimizers" }, { "title": "serfaniane/siamese_person_re_id", "url": "https://github.com/serfaniane/siamese_person_re_id" }, { "title": "junkwhinger/fastautoaugment_jsh", "url": "https://github.com/junkwhinger/fastautoaugment_jsh" }, { "title": "Etrama/DL-Paper-Notes", "url": "https://github.com/Etrama/DL-Paper-Notes" }, { "title": "LMaxence/Cifar10_Classification", "url": "https://github.com/LMaxence/Cifar10_Classification" }, { "title": "YaCpotato/B4ResearchDeepaugment", "url": "https://github.com/YaCpotato/B4ResearchDeepaugment" }, { "title": "northeastsquare/effficientnet", "url": "https://github.com/northeastsquare/effficientnet" }, { "title": "RAF96/ifmo-2019-deep-learning-coursework", "url": "https://github.com/RAF96/ifmo-2019-deep-learning-coursework" } ], "date": "2018-05-24", "date2": 20180524, "model": "AutoAugment", "paper": { "title": "AutoAugment: Learning Augmentation Policies from Data", "url": "https://cknow.io/lib/38177c550b523e98" }, "paper_data_uoa": "38177c550b523e98" }, { "Percentage error": 1.1, "code_links": [ { "title": "kakaobrain/fast-autoaugment", "url": "https://github.com/kakaobrain/fast-autoaugment" }, { "title": "Philip-Bachman/amdim-public", "url": "https://github.com/Philip-Bachman/amdim-public" }, { "title": "ildoonet/pytorch-randaugment", "url": "https://github.com/ildoonet/pytorch-randaugment" }, { "title": "kakaobrain/autoclint", "url": "https://github.com/kakaobrain/autoclint" }, { "title": "junkwhinger/fastautoaugment_jsh", "url": "https://github.com/junkwhinger/fastautoaugment_jsh" }, { "title": "tgilewicz/uniformaugment", "url": "https://github.com/tgilewicz/uniformaugment" }, { "title": "cfld/amdim", "url": "https://github.com/cfld/amdim" } ], "date": "2019-05-01", "date2": 20190501, "model": "Wide-ResNet-28-10 (Fast AA)", "paper": { "title": "Fast AutoAugment", "url": "https://cknow.io/lib/494bc0eb97e74989" }, "paper_data_uoa": "494bc0eb97e74989" }, { "Percentage error": 1.3, "code_links": [ { "title": "uoguelph-mlrg/Cutout", "url": "https://github.com/uoguelph-mlrg/Cutout" }, { "title": "barisozmen/deepaugment", "url": "https://github.com/barisozmen/deepaugment" }, { "title": "khanrc/pt.fractalnet", "url": "https://github.com/khanrc/pt.fractalnet" }, { "title": "etetteh/sota-data-augmentation-and-optimizers", "url": "https://github.com/etetteh/sota-data-augmentation-and-optimizers" }, { "title": "Ximilar-com/tf-image", "url": "https://github.com/Ximilar-com/tf-image" }, { "title": "LMaxence/Cifar10_Classification", "url": "https://github.com/LMaxence/Cifar10_Classification" }, { "title": "YaCpotato/B4ResearchDeepaugment", "url": "https://github.com/YaCpotato/B4ResearchDeepaugment" }, { "title": "dishen12/Cuout_modify", "url": "https://github.com/dishen12/Cuout_modify" }, { "title": "sour4bh/cifar-10", "url": "https://github.com/sour4bh/cifar-10" } ], "date": "2017-08-15", "date2": 20170815, "model": "Cutout", "paper": { "title": "Improved Regularization of Convolutional Neural Networks with Cutout", "url": "https://cknow.io/lib/5776e75da4897869" }, "paper_data_uoa": "5776e75da4897869" }, { "Percentage error": 1.4, "code_links": [ { "title": "hongyi-zhang/Fixup", "url": "https://github.com/hongyi-zhang/Fixup" }, { "title": "valilenk/fixup", "url": "https://github.com/valilenk/fixup" }, { "title": "bzhangGo/zero", "url": "https://github.com/bzhangGo/zero" }, { "title": "Zelgunn/CustomKerasLayers", "url": "https://github.com/Zelgunn/CustomKerasLayers" }, { "title": "yanivbl6/fixup", "url": "https://github.com/yanivbl6/fixup" }, { "title": "AngusG/bn-advex-zhang-fixup", "url": "https://github.com/AngusG/bn-advex-zhang-fixup" }, { "title": "Abhimanyu08/Fixup_Initialization", "url": "https://github.com/Abhimanyu08/Fixup_Initialization" } ], "date": "2019-01-27", "date2": 20190127, "model": "WRN + fixup init + mixup + cutout", "paper": { "title": "Fixup Initialization: Residual Learning Without Normalization", "url": "https://cknow.io/lib/22777e139e34c1e8" }, "paper_data_uoa": "22777e139e34c1e8" }, { "Percentage error": 1.54, "code_links": [ { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/autoaugment" }, { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/resnet" }, { "title": "osmr/imgclsmob", "url": "https://github.com/osmr/imgclsmob" }, { "title": "szagoruyko/wide-residual-networks", "url": "https://github.com/szagoruyko/wide-residual-networks" }, { "title": "meliketoy/wide-resnet.pytorch", "url": "https://github.com/meliketoy/wide-resnet.pytorch" }, { "title": "xternalz/WideResNet-pytorch", "url": "https://github.com/xternalz/WideResNet-pytorch" }, { "title": "ShiyuLiang/odin-pytorch", "url": "https://github.com/ShiyuLiang/odin-pytorch" }, { "title": "asmith26/wide_resnets_keras", "url": "https://github.com/asmith26/wide_resnets_keras" }, { "title": "mz24cn/clnet", "url": "https://github.com/mz24cn/clnet" }, { "title": "valilenk/fixup", "url": "https://github.com/valilenk/fixup" }, { "title": "uclaml/Padam", "url": "https://github.com/uclaml/Padam" }, { "title": "thughost2/Padam", "url": "https://github.com/thughost2/Padam" }, { "title": "dalgu90/wrn-tensorflow", "url": "https://github.com/dalgu90/wrn-tensorflow" }, { "title": "Stick-To/WideResNet-tensorflow", "url": "https://github.com/Stick-To/WideResNet-tensorflow" }, { "title": "Stick-To/WideResNet-TF", "url": "https://github.com/Stick-To/WideResNet-TF" }, { "title": "J911/WRN-pytorch", "url": "https://github.com/J911/WRN-pytorch" }, { "title": "junkwhinger/fastautoaugment_jsh", "url": "https://github.com/junkwhinger/fastautoaugment_jsh" }, { "title": "AlexandrosFerles/NIPS_2019_Reproducibilty_Challenge_Zero-shot_Knowledge_Transfer_via_Adversarial_Belief_Matching", "url": "https://github.com/AlexandrosFerles/NIPS_2019_Reproducibilty_Challenge_Zero-shot_Knowledge_Transfer_via_Adversarial_Belief_Matching" }, { "title": "MichaelWangfc/distributed-tensorflow-resnet", "url": "https://github.com/MichaelWangfc/distributed-tensorflow-resnet" }, { "title": "ericjang/odin", "url": "https://github.com/ericjang/odin" }, { "title": "aisosalo/CIFAR-10", "url": "https://github.com/aisosalo/CIFAR-10" }, { "title": "YeongHyeon/WideResNet_WRN-TF2", "url": "https://github.com/YeongHyeon/WideResNet_WRN-TF2" }, { "title": "yanivbl6/fixup", "url": "https://github.com/yanivbl6/fixup" }, { "title": "Xinyi6/CIFAR10-CNN-by-Keras", "url": "https://github.com/Xinyi6/CIFAR10-CNN-by-Keras" }, { "title": "akshaymehra24/WideResnet", "url": "https://github.com/akshaymehra24/WideResnet" }, { "title": "luanshiyinyang/WRN", "url": "https://github.com/luanshiyinyang/WRN" }, { "title": "FranckZibi/SharpNet", "url": "https://github.com/FranckZibi/SharpNet" }, { "title": "LoJunKai/SUTD_initIAtion", "url": "https://github.com/LoJunKai/SUTD_initIAtion" }, { "title": "NickHoernle/sloss2", "url": "https://github.com/NickHoernle/sloss2" }, { "title": "liyz15/WideResNet-tensorflow", "url": "https://github.com/liyz15/WideResNet-tensorflow" }, { "title": "lavoiems/SPUDT", "url": "https://github.com/lavoiems/SPUDT" }, { "title": "piyush9923/WideResNet_Emotion", "url": "https://github.com/piyush9923/WideResNet_Emotion" }, { "title": "sour4bh/cifar-10", "url": "https://github.com/sour4bh/cifar-10" }, { "title": "idobronstein/my_WRN", "url": "https://github.com/idobronstein/my_WRN" }, { "title": "c1ph3rr/Wide-Residual-Networks", "url": "https://github.com/c1ph3rr/Wide-Residual-Networks" }, { "title": "davda54/chainer-wideresnet", "url": "https://github.com/davda54/chainer-wideresnet" }, { "title": "rishabh135/foodx", "url": "https://github.com/rishabh135/foodx" }, { "title": "darkreapyre/HaaS", "url": "https://github.com/darkreapyre/HaaS" }, { "title": "darkreapyre/HaaS-dev", "url": "https://github.com/darkreapyre/HaaS-dev" }, { "title": "ewinata/CIFAR-10", "url": "https://github.com/ewinata/CIFAR-10" }, { "title": "AlexandrosFerles/Wide-Residual-Networks-PyTorch", "url": "https://github.com/AlexandrosFerles/Wide-Residual-Networks-PyTorch" } ], "date": "2016-05-23", "date2": 20160523, "model": "Wide Residual Networks", "paper": { "title": "Wide Residual Networks", "url": "https://cknow.io/lib/33bc7e1ae64f62b9" }, "paper_data_uoa": "33bc7e1ae64f62b9" }, { "Percentage error": 1.59, "code_links": [ { "title": "pytorch/vision", "url": "https://github.com/pytorch/vision" }, { "title": "liuzhuang13/DenseNet", "url": "https://github.com/liuzhuang13/DenseNet" }, { "title": "osmr/imgclsmob", "url": "https://github.com/osmr/imgclsmob" }, { "title": "titu1994/DenseNet", "url": "https://github.com/titu1994/DenseNet" }, { "title": "bamos/densenet.pytorch", "url": "https://github.com/bamos/densenet.pytorch" }, { "title": "flyyufelix/DenseNet-Keras", "url": "https://github.com/flyyufelix/DenseNet-Keras" }, { "title": "SimJeg/FC-DenseNet", "url": "https://github.com/SimJeg/FC-DenseNet" }, { "title": "shicai/DenseNet-Caffe", "url": "https://github.com/shicai/DenseNet-Caffe" }, { "title": "andreasveit/densenet-pytorch", "url": "https://github.com/andreasveit/densenet-pytorch" }, { "title": "wikke/Tianchi-Medical-LungTumorDetect", "url": "https://github.com/wikke/Tianchi-Medical-LungTumorDetect" }, { "title": "liuzhuang13/DenseNetCaffe", "url": "https://github.com/liuzhuang13/DenseNetCaffe" }, { "title": "ikhlestov/vision_networks", "url": "https://github.com/ikhlestov/vision_networks" }, { "title": "ShiyuLiang/odin-pytorch", "url": "https://github.com/ShiyuLiang/odin-pytorch" }, { "title": "pudae/tensorflow-densenet", "url": "https://github.com/pudae/tensorflow-densenet" }, { "title": "noahfl/densenet-sdr", "url": "https://github.com/noahfl/densenet-sdr" }, { "title": "YerevaNN/DIIN-in-Keras", "url": "https://github.com/YerevaNN/DIIN-in-Keras" }, { "title": "hycis/TensorGraph", "url": "https://github.com/hycis/TensorGraph" }, { "title": "pyaf/DenseNet-MURA-PyTorch", "url": "https://github.com/pyaf/DenseNet-MURA-PyTorch" }, { "title": "albarji/neurowriter", "url": "https://github.com/albarji/neurowriter" }, { "title": "gaetandi/cheXpert", "url": "https://github.com/gaetandi/cheXpert" }, { "title": "marload/ConvNets-TensorFlow2", "url": "https://github.com/marload/ConvNets-TensorFlow2" }, { "title": "seasonyc/densenet", "url": "https://github.com/seasonyc/densenet" }, { "title": "wangbinglin1995/tianchi", "url": "https://github.com/wangbinglin1995/tianchi" }, { "title": "DaikiTanak/manifold_mixup", "url": "https://github.com/DaikiTanak/manifold_mixup" }, { "title": "xypan1232/iDeepE", "url": "https://github.com/xypan1232/iDeepE" }, { "title": "jonnor/datascience-master", "url": "https://github.com/jonnor/datascience-master" }, { "title": "okason97/DenseNet-Tensorflow2", "url": "https://github.com/okason97/DenseNet-Tensorflow2" }, { "title": "asprenger/keras_fc_densenet", "url": "https://github.com/asprenger/keras_fc_densenet" }, { "title": "fengjiqiang/pretrainedmodel_pytorch", "url": "https://github.com/fengjiqiang/pretrainedmodel_pytorch" }, { "title": "jbernoz/deeppolyp", "url": "https://github.com/jbernoz/deeppolyp" }, { "title": "Stick-To/DenseNet-TF", "url": "https://github.com/Stick-To/DenseNet-TF" }, { "title": "luanshiyinyang/DenseNet", "url": "https://github.com/luanshiyinyang/DenseNet" }, { "title": "johntd54/stanford_car", "url": "https://github.com/johntd54/stanford_car" }, { "title": "midusi/cacic2019-handshapes", "url": "https://github.com/midusi/cacic2019-handshapes" }, { "title": "okason97/handshape-recognition", "url": "https://github.com/okason97/handshape-recognition" }, { "title": "ericjang/odin", "url": "https://github.com/ericjang/odin" }, { "title": "fabiofumarola/ultrayolo", "url": "https://github.com/fabiofumarola/ultrayolo" }, { "title": "yichigo/Chest-X-Ray", "url": "https://github.com/yichigo/Chest-X-Ray" }, { "title": "GeoTrouvetout/Vehicle_ReID", "url": "https://github.com/GeoTrouvetout/Vehicle_ReID" }, { "title": "lab-midas/med_segmentation", "url": "https://github.com/lab-midas/med_segmentation" }, { "title": "pmcgrath249/DeepCVLab", "url": "https://github.com/pmcgrath249/DeepCVLab" }, { "title": "pmcgrath249/DeepCV_Lab", "url": "https://github.com/pmcgrath249/DeepCV_Lab" }, { "title": "nellopai/deepLearningModels", "url": "https://github.com/nellopai/deepLearningModels" }, { "title": "chvlyl/python_tips", "url": "https://github.com/chvlyl/python_tips" }, { "title": "gargarchit/60DaysOfUdacity", "url": "https://github.com/gargarchit/60DaysOfUdacity" }, { "title": "greatsharma/DeepLearning-Papers-Implementation", "url": "https://github.com/greatsharma/DeepLearning-Papers-Implementation" }, { "title": "RRoundTable/OceanLitter_dataset_generator", "url": "https://github.com/RRoundTable/OceanLitter_dataset_generator" }, { "title": "rajkumargithub/densenet.mura", "url": "https://github.com/rajkumargithub/densenet.mura" }, { "title": "FranckZibi/SharpNet", "url": "https://github.com/FranckZibi/SharpNet" }, { "title": "nashawnch/ComputerVision-FerrariDetective", "url": "https://github.com/nashawnch/ComputerVision-FerrariDetective" }, { "title": "VinayBN8997/CIFAR-10-object-detection", "url": "https://github.com/VinayBN8997/CIFAR-10-object-detection" }, { "title": "agassi4013/Log-DenseNet-Tensorflow", "url": "https://github.com/agassi4013/Log-DenseNet-Tensorflow" }, { "title": "atapour/ransomware-classification", "url": "https://github.com/atapour/ransomware-classification" }, { "title": "CeLaMbDa/DenseNet_keras", "url": "https://github.com/CeLaMbDa/DenseNet_keras" }, { "title": "minggli/DenseNet", "url": "https://github.com/minggli/DenseNet" }, { "title": "swxhss/densenet_tensorflow", "url": "https://github.com/swxhss/densenet_tensorflow" }, { "title": "muditrastogi/chestai", "url": "https://github.com/muditrastogi/chestai" }, { "title": "Elvictor01/Plant-Pathology-2020---FGVC7-Identify-the-category-of-foliar-diseases-in-apple-trees", "url": "https://github.com/Elvictor01/Plant-Pathology-2020---FGVC7-Identify-the-category-of-foliar-diseases-in-apple-trees" }, { "title": "nashawnch/Computer-Vision-FerrariDetective", "url": "https://github.com/nashawnch/Computer-Vision-FerrariDetective" }, { "title": "idobronstein/vision_networks", "url": "https://github.com/idobronstein/vision_networks" }, { "title": "Ciprian95/Licenta", "url": "https://github.com/Ciprian95/Licenta" }, { "title": "lyw1538272605/AnotherTenseNet", "url": "https://github.com/lyw1538272605/AnotherTenseNet" }, { "title": "modelhub-ai/densenet", "url": "https://github.com/modelhub-ai/densenet" }, { "title": "yw0nam/DenseNet", "url": "https://github.com/yw0nam/DenseNet" }, { "title": "arnavdodiedo/DenseNet-MNIST", "url": "https://github.com/arnavdodiedo/DenseNet-MNIST" }, { "title": "zjZSTU/ResNet", "url": "https://github.com/zjZSTU/ResNet" }, { "title": "syiin/ann_cancer_detection", "url": "https://github.com/syiin/ann_cancer_detection" }, { "title": "RaghavHub/rekuten_hack", "url": "https://github.com/RaghavHub/rekuten_hack" }, { "title": "earthLD/Algorithm", "url": "https://github.com/earthLD/Algorithm" }, { "title": "RajuGudhe/Cancer_Tissue_Detection", "url": "https://github.com/RajuGudhe/Cancer_Tissue_Detection" }, { "title": "AirBernard/DenseNet-by-Pytorch", "url": "https://github.com/AirBernard/DenseNet-by-Pytorch" }, { "title": "HLinShan/vision_networks", "url": "https://github.com/HLinShan/vision_networks" }, { "title": "sparvangada/capstone_project", "url": "https://github.com/sparvangada/capstone_project" }, { "title": "bhaskar-gaur/DenseNet-Keras", "url": "https://github.com/bhaskar-gaur/DenseNet-Keras" }, { "title": "satishjasthi/Densenet_smplified", "url": "https://github.com/satishjasthi/Densenet_smplified" }, { "title": "arnavdodiedo/DenseNet-Fashion-MNIST", "url": "https://github.com/arnavdodiedo/DenseNet-Fashion-MNIST" }, { "title": "Anil1331/DenseNet", "url": "https://github.com/Anil1331/DenseNet" }, { "title": "grapestone5321/Stanford-CS230-Deep-Learning-Autumn-2018", "url": "https://github.com/grapestone5321/Stanford-CS230-Deep-Learning-Autumn-2018" }, { "title": "syiin/resnet_cancer_detection", "url": "https://github.com/syiin/resnet_cancer_detection" }, { "title": "fxfviolet/Densenet_for_quiz_classification", "url": "https://github.com/fxfviolet/Densenet_for_quiz_classification" }, { "title": "taylor-914/DenseNet", "url": "https://github.com/taylor-914/DenseNet" }, { "title": "LJKS/noplants", "url": "https://github.com/LJKS/noplants" }, { "title": "ApexPredator1/DenseNet_tensorflow", "url": "https://github.com/ApexPredator1/DenseNet_tensorflow" }, { "title": "ByakuyaUncia/DenseNetUncia", "url": "https://github.com/ByakuyaUncia/DenseNetUncia" }, { "title": "0492wzl/tensorflow_slim_densenet", "url": "https://github.com/0492wzl/tensorflow_slim_densenet" }, { "title": "cges60809/DenseNet", "url": "https://github.com/cges60809/DenseNet" } ], "date": "2016-08-25", "date2": 20160825, "model": "DenseNet", "paper": { "title": "Densely Connected Convolutional Networks", "url": "https://cknow.io/lib/446284c13553edd1" }, "paper_data_uoa": "446284c13553edd1" }, { "Percentage error": 1.7, "code_links": [ { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/autoaugment" }, { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/resnet" }, { "title": "osmr/imgclsmob", "url": "https://github.com/osmr/imgclsmob" }, { "title": "szagoruyko/wide-residual-networks", "url": "https://github.com/szagoruyko/wide-residual-networks" }, { "title": "meliketoy/wide-resnet.pytorch", "url": "https://github.com/meliketoy/wide-resnet.pytorch" }, { "title": "xternalz/WideResNet-pytorch", "url": "https://github.com/xternalz/WideResNet-pytorch" }, { "title": "ShiyuLiang/odin-pytorch", "url": "https://github.com/ShiyuLiang/odin-pytorch" }, { "title": "asmith26/wide_resnets_keras", "url": "https://github.com/asmith26/wide_resnets_keras" }, { "title": "mz24cn/clnet", "url": "https://github.com/mz24cn/clnet" }, { "title": "valilenk/fixup", "url": "https://github.com/valilenk/fixup" }, { "title": "uclaml/Padam", "url": "https://github.com/uclaml/Padam" }, { "title": "thughost2/Padam", "url": "https://github.com/thughost2/Padam" }, { "title": "dalgu90/wrn-tensorflow", "url": "https://github.com/dalgu90/wrn-tensorflow" }, { "title": "Stick-To/WideResNet-tensorflow", "url": "https://github.com/Stick-To/WideResNet-tensorflow" }, { "title": "Stick-To/WideResNet-TF", "url": "https://github.com/Stick-To/WideResNet-TF" }, { "title": "J911/WRN-pytorch", "url": "https://github.com/J911/WRN-pytorch" }, { "title": "junkwhinger/fastautoaugment_jsh", "url": "https://github.com/junkwhinger/fastautoaugment_jsh" }, { "title": "AlexandrosFerles/NIPS_2019_Reproducibilty_Challenge_Zero-shot_Knowledge_Transfer_via_Adversarial_Belief_Matching", "url": "https://github.com/AlexandrosFerles/NIPS_2019_Reproducibilty_Challenge_Zero-shot_Knowledge_Transfer_via_Adversarial_Belief_Matching" }, { "title": "MichaelWangfc/distributed-tensorflow-resnet", "url": "https://github.com/MichaelWangfc/distributed-tensorflow-resnet" }, { "title": "ericjang/odin", "url": "https://github.com/ericjang/odin" }, { "title": "aisosalo/CIFAR-10", "url": "https://github.com/aisosalo/CIFAR-10" }, { "title": "YeongHyeon/WideResNet_WRN-TF2", "url": "https://github.com/YeongHyeon/WideResNet_WRN-TF2" }, { "title": "yanivbl6/fixup", "url": "https://github.com/yanivbl6/fixup" }, { "title": "Xinyi6/CIFAR10-CNN-by-Keras", "url": "https://github.com/Xinyi6/CIFAR10-CNN-by-Keras" }, { "title": "akshaymehra24/WideResnet", "url": "https://github.com/akshaymehra24/WideResnet" }, { "title": "luanshiyinyang/WRN", "url": "https://github.com/luanshiyinyang/WRN" }, { "title": "FranckZibi/SharpNet", "url": "https://github.com/FranckZibi/SharpNet" }, { "title": "LoJunKai/SUTD_initIAtion", "url": "https://github.com/LoJunKai/SUTD_initIAtion" }, { "title": "NickHoernle/sloss2", "url": "https://github.com/NickHoernle/sloss2" }, { "title": "liyz15/WideResNet-tensorflow", "url": "https://github.com/liyz15/WideResNet-tensorflow" }, { "title": "lavoiems/SPUDT", "url": "https://github.com/lavoiems/SPUDT" }, { "title": "piyush9923/WideResNet_Emotion", "url": "https://github.com/piyush9923/WideResNet_Emotion" }, { "title": "sour4bh/cifar-10", "url": "https://github.com/sour4bh/cifar-10" }, { "title": "idobronstein/my_WRN", "url": "https://github.com/idobronstein/my_WRN" }, { "title": "c1ph3rr/Wide-Residual-Networks", "url": "https://github.com/c1ph3rr/Wide-Residual-Networks" }, { "title": "davda54/chainer-wideresnet", "url": "https://github.com/davda54/chainer-wideresnet" }, { "title": "rishabh135/foodx", "url": "https://github.com/rishabh135/foodx" }, { "title": "darkreapyre/HaaS", "url": "https://github.com/darkreapyre/HaaS" }, { "title": "darkreapyre/HaaS-dev", "url": "https://github.com/darkreapyre/HaaS-dev" }, { "title": "ewinata/CIFAR-10", "url": "https://github.com/ewinata/CIFAR-10" }, { "title": "AlexandrosFerles/Wide-Residual-Networks-PyTorch", "url": "https://github.com/AlexandrosFerles/Wide-Residual-Networks-PyTorch" } ], "date": "2016-05-23", "date2": 20160523, "model": "Wide ResNet", "paper": { "title": "Wide Residual Networks", "url": "https://cknow.io/lib/33bc7e1ae64f62b9" }, "paper_data_uoa": "33bc7e1ae64f62b9" }, { "Percentage error": 1.75, "code_links": [ { "title": "rwightman/pytorch-image-models", "url": "https://github.com/rwightman/pytorch-image-models" }, { "title": "osmr/imgclsmob", "url": "https://github.com/osmr/imgclsmob" }, { "title": "ry/tensorflow-resnet", "url": "https://github.com/ry/tensorflow-resnet" }, { "title": "yueatsprograms/Stochastic_Depth", "url": "https://github.com/yueatsprograms/Stochastic_Depth" }, { "title": "andreasveit/densenet-pytorch", "url": "https://github.com/andreasveit/densenet-pytorch" }, { "title": "dblN/stochastic_depth_keras", "url": "https://github.com/dblN/stochastic_depth_keras" }, { "title": "jiweeo/pytorch-stochastic-depth", "url": "https://github.com/jiweeo/pytorch-stochastic-depth" }, { "title": "shamangary/Pytorch-Stochastic-Depth-Resnet", "url": "https://github.com/shamangary/Pytorch-Stochastic-Depth-Resnet" }, { "title": "Stick-To/ResNet-TF", "url": "https://github.com/Stick-To/ResNet-TF" }, { "title": "Stick-To/resnet", "url": "https://github.com/Stick-To/resnet" } ], "date": "2016-03-30", "date2": 20160330, "model": "Stochastic Depth", "paper": { "title": "Deep Networks with Stochastic Depth", "url": "https://cknow.io/lib/3f317b448b48a683" }, "paper_data_uoa": "3f317b448b48a683" }, { "Percentage error": 2.2, "code_links": [ { "title": "beeps82/SVHN_CNN", "url": "https://github.com/beeps82/SVHN_CNN" }, { "title": "jackjhliu/Pytorch-Attention-RNN-for-SVHN", "url": "https://github.com/jackjhliu/Pytorch-Attention-RNN-for-SVHN" }, { "title": "lixilinx/MCMIL", "url": "https://github.com/lixilinx/MCMIL" }, { "title": "Pek20180909/SVHN", "url": "https://github.com/Pek20180909/SVHN" }, { "title": "GurpartapSS/anpr_CNN", "url": "https://github.com/GurpartapSS/anpr_CNN" }, { "title": "mimikaan/Attention-Model", "url": "https://github.com/mimikaan/Attention-Model" }, { "title": "schmollgruberja/Machine-Learning-Nanodegree", "url": "https://github.com/schmollgruberja/Machine-Learning-Nanodegree" }, { "title": "agrbin/snapscale", "url": "https://github.com/agrbin/snapscale" }, { "title": "JoeyMcNatt/Deep-Learning-Final-Project-Maloney-McNatt-Satriale", "url": "https://github.com/JoeyMcNatt/Deep-Learning-Final-Project-Maloney-McNatt-Satriale" } ], "date": "2013-12-20", "date2": 20131220, "model": "DCNN", "paper": { "title": "Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks", "url": "https://cknow.io/lib/10f4f358aff5b3e3" }, "paper_data_uoa": "10f4f358aff5b3e3" }, { "Percentage error": 2.5, "code_links": [ { "title": "philipperemy/tensorflow-maxout", "url": "https://github.com/philipperemy/tensorflow-maxout" }, { "title": "mavenlin/cuda-convnet", "url": "https://github.com/mavenlin/cuda-convnet" }, { "title": "paniabhisek/maxout", "url": "https://github.com/paniabhisek/maxout" }, { "title": "pmallari/Emotion_Recognition_PyTorch", "url": "https://github.com/pmallari/Emotion_Recognition_PyTorch" }, { "title": "minoring/nin-tf2", "url": "https://github.com/minoring/nin-tf2" }, { "title": "pmallari/Emotion_Recognition", "url": "https://github.com/pmallari/Emotion_Recognition" } ], "date": "2013-02-18", "date2": 20130218, "model": "Maxout", "paper": { "title": "Maxout Networks", "url": "https://cknow.io/lib/8cdfea74b07b714c" }, "paper_data_uoa": "8cdfea74b07b714c" }, { "Percentage error": 2.59, "code_links": [ { "title": "google-research/mixmatch", "url": "https://github.com/google-research/mixmatch" }, { "title": "YU1ut/MixMatch-pytorch", "url": "https://github.com/YU1ut/MixMatch-pytorch" }, { "title": "gan3sh500/mixmatch-pytorch", "url": "https://github.com/gan3sh500/mixmatch-pytorch" }, { "title": "uizard-technologies/realmix", "url": "https://github.com/uizard-technologies/realmix" }, { "title": "perrying/realistic-ssl-evaluation-pytorch", "url": "https://github.com/perrying/realistic-ssl-evaluation-pytorch" }, { "title": "FelixAbrahamsson/mixmatch-pytorch", "url": "https://github.com/FelixAbrahamsson/mixmatch-pytorch" }, { "title": "noachr/MixMatch-fastai", "url": "https://github.com/noachr/MixMatch-fastai" }, { "title": "rit-git/Snippext_public", "url": "https://github.com/rit-git/Snippext_public" }, { "title": "filaPro/visda2019", "url": "https://github.com/filaPro/visda2019" }, { "title": "dLutscher/MixMatch-TransferLearning", "url": "https://github.com/dLutscher/MixMatch-TransferLearning" }, { "title": "ntozer/mixmatch-tensorflow2.0", "url": "https://github.com/ntozer/mixmatch-tensorflow2.0" }, { "title": "viig99/mixmatch-freesound", "url": "https://github.com/viig99/mixmatch-freesound" }, { "title": "yuxi120407/mixmatch_tensorflow", "url": "https://github.com/yuxi120407/mixmatch_tensorflow" }, { "title": "tinluu/Self-supervised-CV", "url": "https://github.com/tinluu/Self-supervised-CV" }, { "title": "atinghosh/mixmatch_pytorch", "url": "https://github.com/atinghosh/mixmatch_pytorch" }, { "title": "kevinghst/mixmatch", "url": "https://github.com/kevinghst/mixmatch" } ], "date": "2019-05-06", "date2": 20190506, "model": "MixMatch", "paper": { "title": "MixMatch: A Holistic Approach to Semi-Supervised Learning", "url": "https://cknow.io/lib/d873434095a07786" }, "paper_data_uoa": "d873434095a07786" }, { "Percentage error": 3.3, "code_links": [ { "title": "ChihebTrabelsi/deep_complex_networks", "url": "https://github.com/ChihebTrabelsi/deep_complex_networks" }, { "title": "litcoderr/ComplexCNN", "url": "https://github.com/litcoderr/ComplexCNN" }, { "title": "MRSRL/complex-networks-release", "url": "https://github.com/MRSRL/complex-networks-release" }, { "title": "CeeZh/CNN-based-on-Complex-Number", "url": "https://github.com/CeeZh/CNN-based-on-Complex-Number" }, { "title": "Doyosae/Deep_Complex_Networks", "url": "https://github.com/Doyosae/Deep_Complex_Networks" }, { "title": "Doyosae/Deep-Complex-Networks", "url": "https://github.com/Doyosae/Deep-Complex-Networks" }, { "title": "Medabid1/ComplexValuedCNN", "url": "https://github.com/Medabid1/ComplexValuedCNN" }, { "title": "omrijsharon/torchlex", "url": "https://github.com/omrijsharon/torchlex" }, { "title": "waleedt/DeepComplexNetwork", "url": "https://github.com/waleedt/DeepComplexNetwork" }, { "title": "skyblueutd/Paper", "url": "https://github.com/skyblueutd/Paper" } ], "date": "2017-05-27", "date2": 20170527, "model": "Deep Complex", "paper": { "title": "Deep Complex Networks", "url": "https://cknow.io/lib/a8e74a9bac04e7c1" }, "paper_data_uoa": "a8e74a9bac04e7c1" }, { "Percentage error": 8.11, "code_links": [ { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/gan" }, { "title": "sbarratt/inception-score-pytorch", "url": "https://github.com/sbarratt/inception-score-pytorch" }, { "title": "aelnouby/Text-to-Image-Synthesis", "url": "https://github.com/aelnouby/Text-to-Image-Synthesis" }, { "title": "tdrussell/IllustrationGAN", "url": "https://github.com/tdrussell/IllustrationGAN" }, { "title": "zhenxuan00/triple-gan", "url": "https://github.com/zhenxuan00/triple-gan" }, { "title": "deepak112/Keras-SRGAN", "url": "https://github.com/deepak112/Keras-SRGAN" }, { "title": "toshas/torch-fidelity", "url": "https://github.com/toshas/torch-fidelity" }, { "title": "tsc2017/Inception-Score", "url": "https://github.com/tsc2017/Inception-Score" }, { "title": "hanzhanggit/StackGAN-inception-model", "url": "https://github.com/hanzhanggit/StackGAN-inception-model" }, { "title": "Vishal-V/StackGAN", "url": "https://github.com/Vishal-V/StackGAN" }, { "title": "t0nberryking/DCGAN256", "url": "https://github.com/t0nberryking/DCGAN256" }, { "title": "franroldans/tfm-franroldan-wav2pix", "url": "https://github.com/franroldans/tfm-franroldan-wav2pix" }, { "title": "raahii/evan", "url": "https://github.com/raahii/evan" }, { "title": "raahii/video-gans-evaluation", "url": "https://github.com/raahii/video-gans-evaluation" }, { "title": "watsonyanghx/GAN_Lib_Tensorflow", "url": "https://github.com/watsonyanghx/GAN_Lib_Tensorflow" }, { "title": "ZhimingZhou/AM-GAN", "url": "https://github.com/ZhimingZhou/AM-GAN" }, { "title": "theidentity/Improved-GAN-PyTorch", "url": "https://github.com/theidentity/Improved-GAN-PyTorch" }, { "title": "healthcare-robotics/mr-gan", "url": "https://github.com/healthcare-robotics/mr-gan" }, { "title": "daixiangzi/ImprovedGan-pytorch", "url": "https://github.com/daixiangzi/ImprovedGan-pytorch" }, { "title": "chameleonTK/continual-learning-for-HAR", "url": "https://github.com/chameleonTK/continual-learning-for-HAR" }, { "title": "LsAntonio/60daysofudacity", "url": "https://github.com/LsAntonio/60daysofudacity" }, { "title": "sanghviyashiitb/GANS-VanillaAndMinibatchDiscrimination", "url": "https://github.com/sanghviyashiitb/GANS-VanillaAndMinibatchDiscrimination" }, { "title": "arnonbruno/ganify", "url": "https://github.com/arnonbruno/ganify" }, { "title": "helmy-elrais/Semi_Supervised_Learning", "url": "https://github.com/helmy-elrais/Semi_Supervised_Learning" }, { "title": "victordibia/deepad", "url": "https://github.com/victordibia/deepad" }, { "title": "francis-kang/handson-unsupervised-learning", "url": "https://github.com/francis-kang/handson-unsupervised-learning" }, { "title": "fastforwardlabs/deepad", "url": "https://github.com/fastforwardlabs/deepad" }, { "title": "geekysethi/triplet-GAN", "url": "https://github.com/geekysethi/triplet-GAN" }, { "title": "RRDajay/DCGAN_AnimeFaces", "url": "https://github.com/RRDajay/DCGAN_AnimeFaces" }, { "title": "aztecman/100_DAYS_OF_ML", "url": "https://github.com/aztecman/100_DAYS_OF_ML" }, { "title": "kseuro/gan_project", "url": "https://github.com/kseuro/gan_project" }, { "title": "andrearama/Deep-Auxiliary-Classifier-GAN", "url": "https://github.com/andrearama/Deep-Auxiliary-Classifier-GAN" }, { "title": "nanwei1/MNIST_GAN", "url": "https://github.com/nanwei1/MNIST_GAN" }, { "title": "vuanhtu1993/Keras-SRGANs", "url": "https://github.com/vuanhtu1993/Keras-SRGANs" }, { "title": "SamSamhuns/ml_gan_human_face_synthesis", "url": "https://github.com/SamSamhuns/ml_gan_human_face_synthesis" }, { "title": "mlz8/GAN-Reading-List", "url": "https://github.com/mlz8/GAN-Reading-List" }, { "title": "voqtuyen/GAN-Intuition", "url": "https://github.com/voqtuyen/GAN-Intuition" }, { "title": "agupta231/CARROL", "url": "https://github.com/agupta231/CARROL" } ], "date": "2016-06-10", "date2": 20160610, "model": "Improved GAN", "paper": { "title": "Improved Techniques for Training GANs", "url": "https://cknow.io/lib/84037a12ac9d243f" }, "paper_data_uoa": "84037a12ac9d243f" }, { "Percentage error": 16.5, "code_links": [ { "title": "EmilienDupont/augmented-neural-odes", "url": "https://github.com/EmilienDupont/augmented-neural-odes" }, { "title": "mitmath/18S096SciML", "url": "https://github.com/mitmath/18S096SciML" }, { "title": "locuslab/monotone_op_net", "url": "https://github.com/locuslab/monotone_op_net" }, { "title": "kfallah/NODE-Denoiser", "url": "https://github.com/kfallah/NODE-Denoiser" }, { "title": "mandubian/pytorch-neural-ode", "url": "https://github.com/mandubian/pytorch-neural-ode" } ], "date": "2019-04-02", "date2": 20190402, "model": "ANODE", "paper": { "title": "Augmented Neural ODEs", "url": "https://cknow.io/lib/88a14ad0afc9d6de" }, "paper_data_uoa": "88a14ad0afc9d6de" }, { "Percentage error": 22.48, "code_links": [ { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/gan" }, { "title": "eriklindernoren/Keras-GAN", "url": "https://github.com/eriklindernoren/Keras-GAN" }, { "title": "eriklindernoren/PyTorch-GAN", "url": "https://github.com/eriklindernoren/PyTorch-GAN" }, { "title": "carpedm20/DCGAN-tensorflow", "url": "https://github.com/carpedm20/DCGAN-tensorflow" }, { "title": "tensorpack/tensorpack", "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/GAN" }, { "title": "junyanz/iGAN", "url": "https://github.com/junyanz/iGAN" }, { "title": "Newmu/dcgan_code", "url": "https://github.com/Newmu/dcgan_code" }, { "title": "robbiebarrat/art-DCGAN", "url": "https://github.com/robbiebarrat/art-DCGAN" }, { "title": "facebookresearch/pytorch_GAN_zoo", "url": "https://github.com/facebookresearch/pytorch_GAN_zoo" }, { "title": "taoxugit/AttnGAN", "url": "https://github.com/taoxugit/AttnGAN" }, { "title": "jacobgil/keras-dcgan", "url": "https://github.com/jacobgil/keras-dcgan" }, { "title": "mattya/chainer-DCGAN", "url": "https://github.com/mattya/chainer-DCGAN" }, { "title": "timsainb/Tensorflow-MultiGPU-VAE-GAN", "url": "https://github.com/timsainb/Tensorflow-MultiGPU-VAE-GAN" }, { "title": "LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow", "url": "https://github.com/LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow" }, { "title": "znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN", "url": "https://github.com/znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN" }, { "title": "tensorlayer/dcgan", "url": "https://github.com/tensorlayer/dcgan" }, { "title": "Guim3/IcGAN", "url": "https://github.com/Guim3/IcGAN" }, { "title": "tdrussell/IllustrationGAN", "url": "https://github.com/tdrussell/IllustrationGAN" }, { "title": "sugyan/tf-dcgan", "url": "https://github.com/sugyan/tf-dcgan" }, { "title": "pearsonkyle/Artificial-Art", "url": "https://github.com/pearsonkyle/Artificial-Art" }, { "title": "pearsonkyle/Neural-Nebula", "url": "https://github.com/pearsonkyle/Neural-Nebula" }, { "title": "jesse1029/Fake-Face-Images-Detection-Tensorflow", "url": "https://github.com/jesse1029/Fake-Face-Images-Detection-Tensorflow" }, { "title": "ChengBinJin/WGAN-TensorFlow", "url": "https://github.com/ChengBinJin/WGAN-TensorFlow" }, { "title": "Mckinsey666/ACGAN-Anime-Generation", "url": "https://github.com/Mckinsey666/ACGAN-Anime-Generation" }, { "title": "Mckinsey666/Anime-Generation", "url": "https://github.com/Mckinsey666/Anime-Generation" }, { "title": "davidstap/AttnGAN", "url": "https://github.com/davidstap/AttnGAN" }, { "title": "MustafaMustafa/cosmoGAN", "url": "https://github.com/MustafaMustafa/cosmoGAN" }, { "title": "Natsu6767/DCGAN-PyTorch", "url": "https://github.com/Natsu6767/DCGAN-PyTorch" }, { "title": "iArunava/DCGAN", "url": "https://github.com/iArunava/DCGAN" }, { "title": "marload/TensorFlow2-GANs", "url": "https://github.com/marload/TensorFlow2-GANs" }, { "title": "marload/GANs-TensorFlow2", "url": "https://github.com/marload/GANs-TensorFlow2" }, { "title": "ChengBinJin/DCGAN-TensorFlow", "url": "https://github.com/ChengBinJin/DCGAN-TensorFlow" }, { "title": "mickaelChen/GMV", "url": "https://github.com/mickaelChen/GMV" }, { "title": "captain-pool/DC-GAN", "url": "https://github.com/captain-pool/DC-GAN" }, { "title": "wikibook/keras", "url": "https://github.com/wikibook/keras" }, { "title": "QuickSolverKyle/Tensorflow-MyGANs", "url": "https://github.com/QuickSolverKyle/Tensorflow-MyGANs" }, { "title": "Tejas-Nanaware/GAN-Anime-Characters", "url": "https://github.com/Tejas-Nanaware/GAN-Anime-Characters" }, { "title": "conan7882/tf-gans", "url": "https://github.com/conan7882/tf-gans" }, { "title": "darr/DCGAN", "url": "https://github.com/darr/DCGAN" }, { "title": "suzana-ilic/pytorch_DCGANs", "url": "https://github.com/suzana-ilic/pytorch_DCGANs" }, { "title": "suzana-ilic/DCGANs_pytorch", "url": "https://github.com/suzana-ilic/DCGANs_pytorch" }, { "title": "Ksuryateja/DCGAN-CIFAR10-pytorch", "url": "https://github.com/Ksuryateja/DCGAN-CIFAR10-pytorch" }, { "title": "subinium/Pytorch-GAN-Keynote-KR", "url": "https://github.com/subinium/Pytorch-GAN-Keynote-KR" }, { "title": "LeChangAlex/GAN-Metric", "url": "https://github.com/LeChangAlex/GAN-Metric" }, { "title": "vinayakkailas/DCGAN", "url": "https://github.com/vinayakkailas/DCGAN" }, { "title": "Soumya1612-Rasha/Keras-GAN_rasha", "url": "https://github.com/Soumya1612-Rasha/Keras-GAN_rasha" }, { "title": "Masquerade51256/DCGAN_SignPicture", "url": "https://github.com/Masquerade51256/DCGAN_SignPicture" }, { "title": "MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS", "url": "https://github.com/MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS" }, { "title": "francis-kang/handson-unsupervised-learning", "url": "https://github.com/francis-kang/handson-unsupervised-learning" }, { "title": "HaijunMa/GAN-Getting-started-learning", "url": "https://github.com/HaijunMa/GAN-Getting-started-learning" }, { "title": "TUM-ML-Lab18/FaceSwap", "url": "https://github.com/TUM-ML-Lab18/FaceSwap" }, { "title": "cachett/DCGANandCAE", "url": "https://github.com/cachett/DCGANandCAE" }, { "title": "MakeDirtyCode/cDCGAN-celebA-pytorch", "url": "https://github.com/MakeDirtyCode/cDCGAN-celebA-pytorch" }, { "title": "HaijunMa/GAN", "url": "https://github.com/HaijunMa/GAN" }, { "title": "joshpc/StyledFontGAN", "url": "https://github.com/joshpc/StyledFontGAN" }, { "title": "esslushy/AbstractArtGenerator", "url": "https://github.com/esslushy/AbstractArtGenerator" }, { "title": "cshanjiewu/CVPR19", "url": "https://github.com/cshanjiewu/CVPR19" }, { "title": "Etienne-Meunier/Micropolis_GAN", "url": "https://github.com/Etienne-Meunier/Micropolis_GAN" }, { "title": "shivamswarnkar/Image-Generator", "url": "https://github.com/shivamswarnkar/Image-Generator" }, { "title": "hunnurjirao/DCGAN", "url": "https://github.com/hunnurjirao/DCGAN" }, { "title": "eecsdanny/AFAD_DCGAN", "url": "https://github.com/eecsdanny/AFAD_DCGAN" }, { "title": "qinpengzhi/myDCGAN", "url": "https://github.com/qinpengzhi/myDCGAN" }, { "title": "caffe-mocha/dcgan-pytorch-cifar10", "url": "https://github.com/caffe-mocha/dcgan-pytorch-cifar10" }, { "title": "jpowie01/DCGAN_CelebA", "url": "https://github.com/jpowie01/DCGAN_CelebA" }, { "title": "akanimax/dcgan_pytorch", "url": "https://github.com/akanimax/dcgan_pytorch" }, { "title": "tomhata/emojigan", "url": "https://github.com/tomhata/emojigan" }, { "title": "Adityasakare/Udacity-Deep-Learning-Nanodegree-", "url": "https://github.com/Adityasakare/Udacity-Deep-Learning-Nanodegree-" }, { "title": "egorix2000/wood-texture-generation", "url": "https://github.com/egorix2000/wood-texture-generation" }, { "title": "DanielLongo/GANs", "url": "https://github.com/DanielLongo/GANs" }, { "title": "VIRUS-ATTACK/DCGAN-GPU-IMPLEMENTATION", "url": "https://github.com/VIRUS-ATTACK/DCGAN-GPU-IMPLEMENTATION" }, { "title": "Atharva-Phatak/GAN_MNIST", "url": "https://github.com/Atharva-Phatak/GAN_MNIST" }, { "title": "schatty/dcgan-tf", "url": "https://github.com/schatty/dcgan-tf" }, { "title": "kpandey008/DCGANS", "url": "https://github.com/kpandey008/DCGANS" }, { "title": "pskrunner14/face-DCGAN", "url": "https://github.com/pskrunner14/face-DCGAN" }, { "title": "donand/GAN_pytorch", "url": "https://github.com/donand/GAN_pytorch" }, { "title": "vmartinezalvarez/Image-generation-GAN-vs-DCGAN", "url": "https://github.com/vmartinezalvarez/Image-generation-GAN-vs-DCGAN" }, { "title": "divyam25/Oh-My-GAN", "url": "https://github.com/divyam25/Oh-My-GAN" }, { "title": "MakeDirtyCode/DC-GAN-pytorch", "url": "https://github.com/MakeDirtyCode/DC-GAN-pytorch" }, { "title": "namepen/AI_school_proj", "url": "https://github.com/namepen/AI_school_proj" }, { "title": "Doyosae/CNN_Models", "url": "https://github.com/Doyosae/CNN_Models" }, { "title": "VIRUS-ATTACK/DCGAN-implementation.", "url": "https://github.com/VIRUS-ATTACK/DCGAN-implementation." }, { "title": "MustafaMustafa/dcgan-tf-benchmark", "url": "https://github.com/MustafaMustafa/dcgan-tf-benchmark" }, { "title": "DanielLongo/AdversarialTrain", "url": "https://github.com/DanielLongo/AdversarialTrain" }, { "title": "bbclr20/TensorFlow-Examples", "url": "https://github.com/bbclr20/TensorFlow-Examples" }, { "title": "tillns/CIL_project", "url": "https://github.com/tillns/CIL_project" }, { "title": "MakeDirtyCode/DCGAN-celebA-pytorch", "url": "https://github.com/MakeDirtyCode/DCGAN-celebA-pytorch" }, { "title": "llvictorll/AS", "url": "https://github.com/llvictorll/AS" }, { "title": "DanielLongo/cGANs", "url": "https://github.com/DanielLongo/cGANs" }, { "title": "YosukeHoshi/surveyed_paper", "url": "https://github.com/YosukeHoshi/surveyed_paper" }, { "title": "PDEUXA/AIF_CYCLEGAN", "url": "https://github.com/PDEUXA/AIF_CYCLEGAN" }, { "title": "jihoonerd/Unsupervised-Representation-Learning-with-Deep-Convolutional-Generative-Adversarial-Networks", "url": "https://github.com/jihoonerd/Unsupervised-Representation-Learning-with-Deep-Convolutional-Generative-Adversarial-Networks" }, { "title": "deepanshgoyal33/Papers", "url": "https://github.com/deepanshgoyal33/Papers" }, { "title": "johnnyjana730/keras_dcgan_car", "url": "https://github.com/johnnyjana730/keras_dcgan_car" }, { "title": "henry32144/wgan-gp-tensorflow", "url": "https://github.com/henry32144/wgan-gp-tensorflow" }, { "title": "sahand68/Deep-Convolutional-GAN", "url": "https://github.com/sahand68/Deep-Convolutional-GAN" }, { "title": "bourcierj/rdfia-tme10-gan", "url": "https://github.com/bourcierj/rdfia-tme10-gan" }, { "title": "SimRunBot/DCGAN", "url": "https://github.com/SimRunBot/DCGAN" }, { "title": "SamSamhuns/ml_gan_human_face_synthesis", "url": "https://github.com/SamSamhuns/ml_gan_human_face_synthesis" }, { "title": "Noxxel/floter", "url": "https://github.com/Noxxel/floter" }, { "title": "tapankumarmishra/machine_learning", "url": "https://github.com/tapankumarmishra/machine_learning" }, { "title": "anandchandra50/deep-space", "url": "https://github.com/anandchandra50/deep-space" }, { "title": "moritzsalla/patriotGAN", "url": "https://github.com/moritzsalla/patriotGAN" }, { "title": "mchiappe83/Generate_Faces", "url": "https://github.com/mchiappe83/Generate_Faces" }, { "title": "harshalnishar/dcgan_cifar10", "url": "https://github.com/harshalnishar/dcgan_cifar10" }, { "title": "ashantanu/DCGAN", "url": "https://github.com/ashantanu/DCGAN" }, { "title": "tylercroberts/funwithgans", "url": "https://github.com/tylercroberts/funwithgans" }, { "title": "jiajunhua/dcgan_code", "url": "https://github.com/jiajunhua/dcgan_code" }, { "title": "eggplant60/dcgan_anime", "url": "https://github.com/eggplant60/dcgan_anime" }, { "title": "shahbuland/basic-gans", "url": "https://github.com/shahbuland/basic-gans" }, { "title": "NicicDamjan/SoftKompjuting", "url": "https://github.com/NicicDamjan/SoftKompjuting" }, { "title": "yukia18/pytorch", "url": "https://github.com/yukia18/pytorch" }, { "title": "vohoaiviet/Advanced-Deep-Learning-with-Keras", "url": "https://github.com/vohoaiviet/Advanced-Deep-Learning-with-Keras" }, { "title": "AndreyBesedin/ImageClassification", "url": "https://github.com/AndreyBesedin/ImageClassification" }, { "title": "davidhalladay/CE-compressive-sensing-on-generative-model-pytorch", "url": "https://github.com/davidhalladay/CE-compressive-sensing-on-generative-model-pytorch" }, { "title": "mehdidc/hybrid-keras", "url": "https://github.com/mehdidc/hybrid-keras" }, { "title": "Ranchofromxgd/DCGAN_mnist", "url": "https://github.com/Ranchofromxgd/DCGAN_mnist" }, { "title": "richardrl/gan-pytorch", "url": "https://github.com/richardrl/gan-pytorch" }, { "title": "linxi159/dcgan_code", "url": "https://github.com/linxi159/dcgan_code" }, { "title": "sherdencooper/dcgan-mnist", "url": "https://github.com/sherdencooper/dcgan-mnist" }, { "title": "wlstyql/Pytorch", "url": "https://github.com/wlstyql/Pytorch" }, { "title": "zhangqianhui/DCGAN-tensorflow", "url": "https://github.com/zhangqianhui/DCGAN-tensorflow" }, { "title": "soyoung9306/GAN", "url": "https://github.com/soyoung9306/GAN" }, { "title": "vharaymonten/FaceGenerationWithGAN", "url": "https://github.com/vharaymonten/FaceGenerationWithGAN" }, { "title": "Murali81/InfoGAN", "url": "https://github.com/Murali81/InfoGAN" }, { "title": "cbxs123/Advanced-Deep-Learning-with-Keras", "url": "https://github.com/cbxs123/Advanced-Deep-Learning-with-Keras" }, { "title": "prodillo/GAN_project", "url": "https://github.com/prodillo/GAN_project" }, { "title": "virafpatrawala/DCGAN", "url": "https://github.com/virafpatrawala/DCGAN" }, { "title": "akjgskwi/DCGAN_implement", "url": "https://github.com/akjgskwi/DCGAN_implement" }, { "title": "Ksuryateja/DCGAN-MNIST-pytorch", "url": "https://github.com/Ksuryateja/DCGAN-MNIST-pytorch" }, { "title": "SoumyadeepJana/CelebrityFaceGeneration", "url": "https://github.com/SoumyadeepJana/CelebrityFaceGeneration" }, { "title": "gcwl/pytorch-dcgan", "url": "https://github.com/gcwl/pytorch-dcgan" }, { "title": "Zachdr1/GANs", "url": "https://github.com/Zachdr1/GANs" }, { "title": "4ndyparr/DCGAN-landscapes", "url": "https://github.com/4ndyparr/DCGAN-landscapes" }, { "title": "Jason-CKY/pokeGAN_fusion", "url": "https://github.com/Jason-CKY/pokeGAN_fusion" }, { "title": "darkhill11/convolutional_GAN_basics", "url": "https://github.com/darkhill11/convolutional_GAN_basics" }, { "title": "addy369/DCGANS", "url": "https://github.com/addy369/DCGANS" }, { "title": "LendelTheGreat/minimalGANs", "url": "https://github.com/LendelTheGreat/minimalGANs" }, { "title": "laplaisanterie/GAN", "url": "https://github.com/laplaisanterie/GAN" }, { "title": "jparcill/gansbestfriend", "url": "https://github.com/jparcill/gansbestfriend" }, { "title": "kseuro/gan_project", "url": "https://github.com/kseuro/gan_project" }, { "title": "mlz8/GAN-Reading-List", "url": "https://github.com/mlz8/GAN-Reading-List" }, { "title": "AKASHKADEL/dcgan-mnist", "url": "https://github.com/AKASHKADEL/dcgan-mnist" }, { "title": "polmonroig/faceGAN", "url": "https://github.com/polmonroig/faceGAN" }, { "title": "psmenon/DCGAN", "url": "https://github.com/psmenon/DCGAN" }, { "title": "XiafeiYu/DCGAN", "url": "https://github.com/XiafeiYu/DCGAN" }, { "title": "KostasTok/keras_DCGAN_transfer_learning", "url": "https://github.com/KostasTok/keras_DCGAN_transfer_learning" }, { "title": "kuangshengkai/dcgan-keras", "url": "https://github.com/kuangshengkai/dcgan-keras" }, { "title": "ansrlm/ML_DCGAN", "url": "https://github.com/ansrlm/ML_DCGAN" }, { "title": "Ayush-Goyal-coding/GANs", "url": "https://github.com/Ayush-Goyal-coding/GANs" } ], "date": "2015-11-19", "date2": 20151119, "model": "DCGAN", "paper": { "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "url": "https://cknow.io/lib/40f0064fe462db1a" }, "paper_data_uoa": "40f0064fe462db1a" }, { "Percentage error": 28.87, "code_links": [ { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/gan" }, { "title": "eriklindernoren/Keras-GAN", "url": "https://github.com/eriklindernoren/Keras-GAN" }, { "title": "eriklindernoren/PyTorch-GAN", "url": "https://github.com/eriklindernoren/PyTorch-GAN" }, { "title": "carpedm20/DCGAN-tensorflow", "url": "https://github.com/carpedm20/DCGAN-tensorflow" }, { "title": "tensorpack/tensorpack", "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/GAN" }, { "title": "junyanz/iGAN", "url": "https://github.com/junyanz/iGAN" }, { "title": "Newmu/dcgan_code", "url": "https://github.com/Newmu/dcgan_code" }, { "title": "robbiebarrat/art-DCGAN", "url": "https://github.com/robbiebarrat/art-DCGAN" }, { "title": "facebookresearch/pytorch_GAN_zoo", "url": "https://github.com/facebookresearch/pytorch_GAN_zoo" }, { "title": "taoxugit/AttnGAN", "url": "https://github.com/taoxugit/AttnGAN" }, { "title": "jacobgil/keras-dcgan", "url": "https://github.com/jacobgil/keras-dcgan" }, { "title": "mattya/chainer-DCGAN", "url": "https://github.com/mattya/chainer-DCGAN" }, { "title": "timsainb/Tensorflow-MultiGPU-VAE-GAN", "url": "https://github.com/timsainb/Tensorflow-MultiGPU-VAE-GAN" }, { "title": "LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow", "url": "https://github.com/LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow" }, { "title": "znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN", "url": "https://github.com/znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN" }, { "title": "tensorlayer/dcgan", "url": "https://github.com/tensorlayer/dcgan" }, { "title": "Guim3/IcGAN", "url": "https://github.com/Guim3/IcGAN" }, { "title": "tdrussell/IllustrationGAN", "url": "https://github.com/tdrussell/IllustrationGAN" }, { "title": "sugyan/tf-dcgan", "url": "https://github.com/sugyan/tf-dcgan" }, { "title": "pearsonkyle/Artificial-Art", "url": "https://github.com/pearsonkyle/Artificial-Art" }, { "title": "pearsonkyle/Neural-Nebula", "url": "https://github.com/pearsonkyle/Neural-Nebula" }, { "title": "jesse1029/Fake-Face-Images-Detection-Tensorflow", "url": "https://github.com/jesse1029/Fake-Face-Images-Detection-Tensorflow" }, { "title": "ChengBinJin/WGAN-TensorFlow", "url": "https://github.com/ChengBinJin/WGAN-TensorFlow" }, { "title": "Mckinsey666/ACGAN-Anime-Generation", "url": "https://github.com/Mckinsey666/ACGAN-Anime-Generation" }, { "title": "Mckinsey666/Anime-Generation", "url": "https://github.com/Mckinsey666/Anime-Generation" }, { "title": "davidstap/AttnGAN", "url": "https://github.com/davidstap/AttnGAN" }, { "title": "MustafaMustafa/cosmoGAN", "url": "https://github.com/MustafaMustafa/cosmoGAN" }, { "title": "Natsu6767/DCGAN-PyTorch", "url": "https://github.com/Natsu6767/DCGAN-PyTorch" }, { "title": "iArunava/DCGAN", "url": "https://github.com/iArunava/DCGAN" }, { "title": "marload/TensorFlow2-GANs", "url": "https://github.com/marload/TensorFlow2-GANs" }, { "title": "marload/GANs-TensorFlow2", "url": "https://github.com/marload/GANs-TensorFlow2" }, { "title": "ChengBinJin/DCGAN-TensorFlow", "url": "https://github.com/ChengBinJin/DCGAN-TensorFlow" }, { "title": "mickaelChen/GMV", "url": "https://github.com/mickaelChen/GMV" }, { "title": "captain-pool/DC-GAN", "url": "https://github.com/captain-pool/DC-GAN" }, { "title": "wikibook/keras", "url": "https://github.com/wikibook/keras" }, { "title": "QuickSolverKyle/Tensorflow-MyGANs", "url": "https://github.com/QuickSolverKyle/Tensorflow-MyGANs" }, { "title": "Tejas-Nanaware/GAN-Anime-Characters", "url": "https://github.com/Tejas-Nanaware/GAN-Anime-Characters" }, { "title": "conan7882/tf-gans", "url": "https://github.com/conan7882/tf-gans" }, { "title": "darr/DCGAN", "url": "https://github.com/darr/DCGAN" }, { "title": "suzana-ilic/pytorch_DCGANs", "url": "https://github.com/suzana-ilic/pytorch_DCGANs" }, { "title": "suzana-ilic/DCGANs_pytorch", "url": "https://github.com/suzana-ilic/DCGANs_pytorch" }, { "title": "Ksuryateja/DCGAN-CIFAR10-pytorch", "url": "https://github.com/Ksuryateja/DCGAN-CIFAR10-pytorch" }, { "title": "subinium/Pytorch-GAN-Keynote-KR", "url": "https://github.com/subinium/Pytorch-GAN-Keynote-KR" }, { "title": "LeChangAlex/GAN-Metric", "url": "https://github.com/LeChangAlex/GAN-Metric" }, { "title": "vinayakkailas/DCGAN", "url": "https://github.com/vinayakkailas/DCGAN" }, { "title": "Soumya1612-Rasha/Keras-GAN_rasha", "url": "https://github.com/Soumya1612-Rasha/Keras-GAN_rasha" }, { "title": "Masquerade51256/DCGAN_SignPicture", "url": "https://github.com/Masquerade51256/DCGAN_SignPicture" }, { "title": "MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS", "url": "https://github.com/MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS" }, { "title": "francis-kang/handson-unsupervised-learning", "url": "https://github.com/francis-kang/handson-unsupervised-learning" }, { "title": "HaijunMa/GAN-Getting-started-learning", "url": "https://github.com/HaijunMa/GAN-Getting-started-learning" }, { "title": "TUM-ML-Lab18/FaceSwap", "url": "https://github.com/TUM-ML-Lab18/FaceSwap" }, { "title": "cachett/DCGANandCAE", "url": "https://github.com/cachett/DCGANandCAE" }, { "title": "MakeDirtyCode/cDCGAN-celebA-pytorch", "url": "https://github.com/MakeDirtyCode/cDCGAN-celebA-pytorch" }, { "title": "HaijunMa/GAN", "url": "https://github.com/HaijunMa/GAN" }, { "title": "joshpc/StyledFontGAN", "url": "https://github.com/joshpc/StyledFontGAN" }, { "title": "esslushy/AbstractArtGenerator", "url": "https://github.com/esslushy/AbstractArtGenerator" }, { "title": "cshanjiewu/CVPR19", "url": "https://github.com/cshanjiewu/CVPR19" }, { "title": "Etienne-Meunier/Micropolis_GAN", "url": "https://github.com/Etienne-Meunier/Micropolis_GAN" }, { "title": "shivamswarnkar/Image-Generator", "url": "https://github.com/shivamswarnkar/Image-Generator" }, { "title": "hunnurjirao/DCGAN", "url": "https://github.com/hunnurjirao/DCGAN" }, { "title": "eecsdanny/AFAD_DCGAN", "url": "https://github.com/eecsdanny/AFAD_DCGAN" }, { "title": "qinpengzhi/myDCGAN", "url": "https://github.com/qinpengzhi/myDCGAN" }, { "title": "caffe-mocha/dcgan-pytorch-cifar10", "url": "https://github.com/caffe-mocha/dcgan-pytorch-cifar10" }, { "title": "jpowie01/DCGAN_CelebA", "url": "https://github.com/jpowie01/DCGAN_CelebA" }, { "title": "akanimax/dcgan_pytorch", "url": "https://github.com/akanimax/dcgan_pytorch" }, { "title": "tomhata/emojigan", "url": "https://github.com/tomhata/emojigan" }, { "title": "Adityasakare/Udacity-Deep-Learning-Nanodegree-", "url": "https://github.com/Adityasakare/Udacity-Deep-Learning-Nanodegree-" }, { "title": "egorix2000/wood-texture-generation", "url": "https://github.com/egorix2000/wood-texture-generation" }, { "title": "DanielLongo/GANs", "url": "https://github.com/DanielLongo/GANs" }, { "title": "VIRUS-ATTACK/DCGAN-GPU-IMPLEMENTATION", "url": "https://github.com/VIRUS-ATTACK/DCGAN-GPU-IMPLEMENTATION" }, { "title": "Atharva-Phatak/GAN_MNIST", "url": "https://github.com/Atharva-Phatak/GAN_MNIST" }, { "title": "schatty/dcgan-tf", "url": "https://github.com/schatty/dcgan-tf" }, { "title": "kpandey008/DCGANS", "url": "https://github.com/kpandey008/DCGANS" }, { "title": "pskrunner14/face-DCGAN", "url": "https://github.com/pskrunner14/face-DCGAN" }, { "title": "donand/GAN_pytorch", "url": "https://github.com/donand/GAN_pytorch" }, { "title": "vmartinezalvarez/Image-generation-GAN-vs-DCGAN", "url": "https://github.com/vmartinezalvarez/Image-generation-GAN-vs-DCGAN" }, { "title": "divyam25/Oh-My-GAN", "url": "https://github.com/divyam25/Oh-My-GAN" }, { "title": "MakeDirtyCode/DC-GAN-pytorch", "url": "https://github.com/MakeDirtyCode/DC-GAN-pytorch" }, { "title": "namepen/AI_school_proj", "url": "https://github.com/namepen/AI_school_proj" }, { "title": "Doyosae/CNN_Models", "url": "https://github.com/Doyosae/CNN_Models" }, { "title": "VIRUS-ATTACK/DCGAN-implementation.", "url": "https://github.com/VIRUS-ATTACK/DCGAN-implementation." }, { "title": "MustafaMustafa/dcgan-tf-benchmark", "url": "https://github.com/MustafaMustafa/dcgan-tf-benchmark" }, { "title": "DanielLongo/AdversarialTrain", "url": "https://github.com/DanielLongo/AdversarialTrain" }, { "title": "bbclr20/TensorFlow-Examples", "url": "https://github.com/bbclr20/TensorFlow-Examples" }, { "title": "tillns/CIL_project", "url": "https://github.com/tillns/CIL_project" }, { "title": "MakeDirtyCode/DCGAN-celebA-pytorch", "url": "https://github.com/MakeDirtyCode/DCGAN-celebA-pytorch" }, { "title": "llvictorll/AS", "url": "https://github.com/llvictorll/AS" }, { "title": "DanielLongo/cGANs", "url": "https://github.com/DanielLongo/cGANs" }, { "title": "YosukeHoshi/surveyed_paper", "url": "https://github.com/YosukeHoshi/surveyed_paper" }, { "title": "PDEUXA/AIF_CYCLEGAN", "url": "https://github.com/PDEUXA/AIF_CYCLEGAN" }, { "title": "jihoonerd/Unsupervised-Representation-Learning-with-Deep-Convolutional-Generative-Adversarial-Networks", "url": "https://github.com/jihoonerd/Unsupervised-Representation-Learning-with-Deep-Convolutional-Generative-Adversarial-Networks" }, { "title": "deepanshgoyal33/Papers", "url": "https://github.com/deepanshgoyal33/Papers" }, { "title": "johnnyjana730/keras_dcgan_car", "url": "https://github.com/johnnyjana730/keras_dcgan_car" }, { "title": "henry32144/wgan-gp-tensorflow", "url": "https://github.com/henry32144/wgan-gp-tensorflow" }, { "title": "sahand68/Deep-Convolutional-GAN", "url": "https://github.com/sahand68/Deep-Convolutional-GAN" }, { "title": "bourcierj/rdfia-tme10-gan", "url": "https://github.com/bourcierj/rdfia-tme10-gan" }, { "title": "SimRunBot/DCGAN", "url": "https://github.com/SimRunBot/DCGAN" }, { "title": "SamSamhuns/ml_gan_human_face_synthesis", "url": "https://github.com/SamSamhuns/ml_gan_human_face_synthesis" }, { "title": "Noxxel/floter", "url": "https://github.com/Noxxel/floter" }, { "title": "tapankumarmishra/machine_learning", "url": "https://github.com/tapankumarmishra/machine_learning" }, { "title": "anandchandra50/deep-space", "url": "https://github.com/anandchandra50/deep-space" }, { "title": "moritzsalla/patriotGAN", "url": "https://github.com/moritzsalla/patriotGAN" }, { "title": "mchiappe83/Generate_Faces", "url": "https://github.com/mchiappe83/Generate_Faces" }, { "title": "harshalnishar/dcgan_cifar10", "url": "https://github.com/harshalnishar/dcgan_cifar10" }, { "title": "ashantanu/DCGAN", "url": "https://github.com/ashantanu/DCGAN" }, { "title": "tylercroberts/funwithgans", "url": "https://github.com/tylercroberts/funwithgans" }, { "title": "jiajunhua/dcgan_code", "url": "https://github.com/jiajunhua/dcgan_code" }, { "title": "eggplant60/dcgan_anime", "url": "https://github.com/eggplant60/dcgan_anime" }, { "title": "shahbuland/basic-gans", "url": "https://github.com/shahbuland/basic-gans" }, { "title": "NicicDamjan/SoftKompjuting", "url": "https://github.com/NicicDamjan/SoftKompjuting" }, { "title": "yukia18/pytorch", "url": "https://github.com/yukia18/pytorch" }, { "title": "vohoaiviet/Advanced-Deep-Learning-with-Keras", "url": "https://github.com/vohoaiviet/Advanced-Deep-Learning-with-Keras" }, { "title": "AndreyBesedin/ImageClassification", "url": "https://github.com/AndreyBesedin/ImageClassification" }, { "title": "davidhalladay/CE-compressive-sensing-on-generative-model-pytorch", "url": "https://github.com/davidhalladay/CE-compressive-sensing-on-generative-model-pytorch" }, { "title": "mehdidc/hybrid-keras", "url": "https://github.com/mehdidc/hybrid-keras" }, { "title": "Ranchofromxgd/DCGAN_mnist", "url": "https://github.com/Ranchofromxgd/DCGAN_mnist" }, { "title": "richardrl/gan-pytorch", "url": "https://github.com/richardrl/gan-pytorch" }, { "title": "linxi159/dcgan_code", "url": "https://github.com/linxi159/dcgan_code" }, { "title": "sherdencooper/dcgan-mnist", "url": "https://github.com/sherdencooper/dcgan-mnist" }, { "title": "wlstyql/Pytorch", "url": "https://github.com/wlstyql/Pytorch" }, { "title": "zhangqianhui/DCGAN-tensorflow", "url": "https://github.com/zhangqianhui/DCGAN-tensorflow" }, { "title": "soyoung9306/GAN", "url": "https://github.com/soyoung9306/GAN" }, { "title": "vharaymonten/FaceGenerationWithGAN", "url": "https://github.com/vharaymonten/FaceGenerationWithGAN" }, { "title": "Murali81/InfoGAN", "url": "https://github.com/Murali81/InfoGAN" }, { "title": "cbxs123/Advanced-Deep-Learning-with-Keras", "url": "https://github.com/cbxs123/Advanced-Deep-Learning-with-Keras" }, { "title": "prodillo/GAN_project", "url": "https://github.com/prodillo/GAN_project" }, { "title": "virafpatrawala/DCGAN", "url": "https://github.com/virafpatrawala/DCGAN" }, { "title": "akjgskwi/DCGAN_implement", "url": "https://github.com/akjgskwi/DCGAN_implement" }, { "title": "Ksuryateja/DCGAN-MNIST-pytorch", "url": "https://github.com/Ksuryateja/DCGAN-MNIST-pytorch" }, { "title": "SoumyadeepJana/CelebrityFaceGeneration", "url": "https://github.com/SoumyadeepJana/CelebrityFaceGeneration" }, { "title": "gcwl/pytorch-dcgan", "url": "https://github.com/gcwl/pytorch-dcgan" }, { "title": "Zachdr1/GANs", "url": "https://github.com/Zachdr1/GANs" }, { "title": "4ndyparr/DCGAN-landscapes", "url": "https://github.com/4ndyparr/DCGAN-landscapes" }, { "title": "Jason-CKY/pokeGAN_fusion", "url": "https://github.com/Jason-CKY/pokeGAN_fusion" }, { "title": "darkhill11/convolutional_GAN_basics", "url": "https://github.com/darkhill11/convolutional_GAN_basics" }, { "title": "addy369/DCGANS", "url": "https://github.com/addy369/DCGANS" }, { "title": "LendelTheGreat/minimalGANs", "url": "https://github.com/LendelTheGreat/minimalGANs" }, { "title": "laplaisanterie/GAN", "url": "https://github.com/laplaisanterie/GAN" }, { "title": "jparcill/gansbestfriend", "url": "https://github.com/jparcill/gansbestfriend" }, { "title": "kseuro/gan_project", "url": "https://github.com/kseuro/gan_project" }, { "title": "mlz8/GAN-Reading-List", "url": "https://github.com/mlz8/GAN-Reading-List" }, { "title": "AKASHKADEL/dcgan-mnist", "url": "https://github.com/AKASHKADEL/dcgan-mnist" }, { "title": "polmonroig/faceGAN", "url": "https://github.com/polmonroig/faceGAN" }, { "title": "psmenon/DCGAN", "url": "https://github.com/psmenon/DCGAN" }, { "title": "XiafeiYu/DCGAN", "url": "https://github.com/XiafeiYu/DCGAN" }, { "title": "KostasTok/keras_DCGAN_transfer_learning", "url": "https://github.com/KostasTok/keras_DCGAN_transfer_learning" }, { "title": "kuangshengkai/dcgan-keras", "url": "https://github.com/kuangshengkai/dcgan-keras" }, { "title": "ansrlm/ML_DCGAN", "url": "https://github.com/ansrlm/ML_DCGAN" }, { "title": "Ayush-Goyal-coding/GANs", "url": "https://github.com/Ayush-Goyal-coding/GANs" } ], "date": "2015-11-19", "date2": 20151119, "model": "Supervised CNN", "paper": { "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "url": "https://cknow.io/lib/40f0064fe462db1a" }, "paper_data_uoa": "40f0064fe462db1a" }, { "Percentage error": 36.02, "code_links": [ { "title": "probtorch/probtorch", "url": "https://github.com/probtorch/probtorch" }, { "title": "dpkingma/nips14-ssl", "url": "https://github.com/dpkingma/nips14-ssl" }, { "title": "enalisnick/stick-breaking_dgms", "url": "https://github.com/enalisnick/stick-breaking_dgms" }, { "title": "MINGUKKANG/CVAE", "url": "https://github.com/MINGUKKANG/CVAE" }, { "title": "gopala-kr/autoencoders", "url": "https://github.com/gopala-kr/autoencoders" }, { "title": "sveinnpalsson/semivaebrats", "url": "https://github.com/sveinnpalsson/semivaebrats" }, { "title": "numfah23/VAE", "url": "https://github.com/numfah23/VAE" }, { "title": "bynchang/semi-supervised-VAE", "url": "https://github.com/bynchang/semi-supervised-VAE" }, { "title": "HongleiXie/demo-CVAE", "url": "https://github.com/HongleiXie/demo-CVAE" }, { "title": "candy4869/2014", "url": "https://github.com/candy4869/2014" }, { "title": "anonyme20/nips20", "url": "https://github.com/anonyme20/nips20" } ], "date": "2014-06-20", "date2": 20140620, "model": "M1+M2", "paper": { "title": "Semi-Supervised Learning with Deep Generative Models", "url": "https://cknow.io/lib/94806f2261241cea" }, "paper_data_uoa": "94806f2261241cea" }, { "Percentage error": 36.02, "code_links": [ { "title": "probtorch/probtorch", "url": "https://github.com/probtorch/probtorch" }, { "title": "dpkingma/nips14-ssl", "url": "https://github.com/dpkingma/nips14-ssl" }, { "title": "enalisnick/stick-breaking_dgms", "url": "https://github.com/enalisnick/stick-breaking_dgms" }, { "title": "MINGUKKANG/CVAE", "url": "https://github.com/MINGUKKANG/CVAE" }, { "title": "gopala-kr/autoencoders", "url": "https://github.com/gopala-kr/autoencoders" }, { "title": "sveinnpalsson/semivaebrats", "url": "https://github.com/sveinnpalsson/semivaebrats" }, { "title": "numfah23/VAE", "url": "https://github.com/numfah23/VAE" }, { "title": "bynchang/semi-supervised-VAE", "url": "https://github.com/bynchang/semi-supervised-VAE" }, { "title": "HongleiXie/demo-CVAE", "url": "https://github.com/HongleiXie/demo-CVAE" }, { "title": "candy4869/2014", "url": "https://github.com/candy4869/2014" }, { "title": "anonyme20/nips20", "url": "https://github.com/anonyme20/nips20" } ], "date": "2014-06-20", "date2": 20140620, "model": "DGN", "paper": { "title": "Semi-Supervised Learning with Deep Generative Models", "url": "https://cknow.io/lib/94806f2261241cea" }, "paper_data_uoa": "94806f2261241cea" }, { "Percentage error": 54.33, "code_links": [ { "title": "probtorch/probtorch", "url": "https://github.com/probtorch/probtorch" }, { "title": "dpkingma/nips14-ssl", "url": "https://github.com/dpkingma/nips14-ssl" }, { "title": "enalisnick/stick-breaking_dgms", "url": "https://github.com/enalisnick/stick-breaking_dgms" }, { "title": "MINGUKKANG/CVAE", "url": "https://github.com/MINGUKKANG/CVAE" }, { "title": "gopala-kr/autoencoders", "url": "https://github.com/gopala-kr/autoencoders" }, { "title": "sveinnpalsson/semivaebrats", "url": "https://github.com/sveinnpalsson/semivaebrats" }, { "title": "numfah23/VAE", "url": "https://github.com/numfah23/VAE" }, { "title": "bynchang/semi-supervised-VAE", "url": "https://github.com/bynchang/semi-supervised-VAE" }, { "title": "HongleiXie/demo-CVAE", "url": "https://github.com/HongleiXie/demo-CVAE" }, { "title": "candy4869/2014", "url": "https://github.com/candy4869/2014" }, { "title": "anonyme20/nips20", "url": "https://github.com/anonyme20/nips20" } ], "date": "2014-06-20", "date2": 20140620, "model": "M1+TSVM", "paper": { "title": "Semi-Supervised Learning with Deep Generative Models", "url": "https://cknow.io/lib/94806f2261241cea" }, "paper_data_uoa": "94806f2261241cea" }, { "Percentage error": 65.63, "code_links": [ { "title": "probtorch/probtorch", "url": "https://github.com/probtorch/probtorch" }, { "title": "dpkingma/nips14-ssl", "url": "https://github.com/dpkingma/nips14-ssl" }, { "title": "enalisnick/stick-breaking_dgms", "url": "https://github.com/enalisnick/stick-breaking_dgms" }, { "title": "MINGUKKANG/CVAE", "url": "https://github.com/MINGUKKANG/CVAE" }, { "title": "gopala-kr/autoencoders", "url": "https://github.com/gopala-kr/autoencoders" }, { "title": "sveinnpalsson/semivaebrats", "url": "https://github.com/sveinnpalsson/semivaebrats" }, { "title": "numfah23/VAE", "url": "https://github.com/numfah23/VAE" }, { "title": "bynchang/semi-supervised-VAE", "url": "https://github.com/bynchang/semi-supervised-VAE" }, { "title": "HongleiXie/demo-CVAE", "url": "https://github.com/HongleiXie/demo-CVAE" }, { "title": "candy4869/2014", "url": "https://github.com/candy4869/2014" }, { "title": "anonyme20/nips20", "url": "https://github.com/anonyme20/nips20" } ], "date": "2014-06-20", "date2": 20140620, "model": "M1+KNN", "paper": { "title": "Semi-Supervised Learning with Deep Generative Models", "url": "https://cknow.io/lib/94806f2261241cea" }, "paper_data_uoa": "94806f2261241cea" }, { "Percentage error": 66.55, "code_links": [ { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/gan" }, { "title": "eriklindernoren/Keras-GAN", "url": "https://github.com/eriklindernoren/Keras-GAN" }, { "title": "eriklindernoren/PyTorch-GAN", "url": "https://github.com/eriklindernoren/PyTorch-GAN" }, { "title": "carpedm20/DCGAN-tensorflow", "url": "https://github.com/carpedm20/DCGAN-tensorflow" }, { "title": "tensorpack/tensorpack", "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/GAN" }, { "title": "junyanz/iGAN", "url": "https://github.com/junyanz/iGAN" }, { "title": "Newmu/dcgan_code", "url": "https://github.com/Newmu/dcgan_code" }, { "title": "robbiebarrat/art-DCGAN", "url": "https://github.com/robbiebarrat/art-DCGAN" }, { "title": "facebookresearch/pytorch_GAN_zoo", "url": "https://github.com/facebookresearch/pytorch_GAN_zoo" }, { "title": "taoxugit/AttnGAN", "url": "https://github.com/taoxugit/AttnGAN" }, { "title": "jacobgil/keras-dcgan", "url": "https://github.com/jacobgil/keras-dcgan" }, { "title": "mattya/chainer-DCGAN", "url": "https://github.com/mattya/chainer-DCGAN" }, { "title": "timsainb/Tensorflow-MultiGPU-VAE-GAN", "url": "https://github.com/timsainb/Tensorflow-MultiGPU-VAE-GAN" }, { "title": "LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow", "url": "https://github.com/LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow" }, { "title": "znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN", "url": "https://github.com/znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN" }, { "title": "tensorlayer/dcgan", "url": "https://github.com/tensorlayer/dcgan" }, { "title": "Guim3/IcGAN", "url": "https://github.com/Guim3/IcGAN" }, { "title": "tdrussell/IllustrationGAN", "url": "https://github.com/tdrussell/IllustrationGAN" }, { "title": "sugyan/tf-dcgan", "url": "https://github.com/sugyan/tf-dcgan" }, { "title": "pearsonkyle/Artificial-Art", "url": "https://github.com/pearsonkyle/Artificial-Art" }, { "title": "pearsonkyle/Neural-Nebula", "url": "https://github.com/pearsonkyle/Neural-Nebula" }, { "title": "jesse1029/Fake-Face-Images-Detection-Tensorflow", "url": "https://github.com/jesse1029/Fake-Face-Images-Detection-Tensorflow" }, { "title": "ChengBinJin/WGAN-TensorFlow", "url": "https://github.com/ChengBinJin/WGAN-TensorFlow" }, { "title": "Mckinsey666/ACGAN-Anime-Generation", "url": "https://github.com/Mckinsey666/ACGAN-Anime-Generation" }, { "title": "Mckinsey666/Anime-Generation", "url": "https://github.com/Mckinsey666/Anime-Generation" }, { "title": "davidstap/AttnGAN", "url": "https://github.com/davidstap/AttnGAN" }, { "title": "MustafaMustafa/cosmoGAN", "url": "https://github.com/MustafaMustafa/cosmoGAN" }, { "title": "Natsu6767/DCGAN-PyTorch", "url": "https://github.com/Natsu6767/DCGAN-PyTorch" }, { "title": "iArunava/DCGAN", "url": "https://github.com/iArunava/DCGAN" }, { "title": "marload/TensorFlow2-GANs", "url": "https://github.com/marload/TensorFlow2-GANs" }, { "title": "marload/GANs-TensorFlow2", "url": "https://github.com/marload/GANs-TensorFlow2" }, { "title": "ChengBinJin/DCGAN-TensorFlow", "url": "https://github.com/ChengBinJin/DCGAN-TensorFlow" }, { "title": "mickaelChen/GMV", "url": "https://github.com/mickaelChen/GMV" }, { "title": "captain-pool/DC-GAN", "url": "https://github.com/captain-pool/DC-GAN" }, { "title": "wikibook/keras", "url": "https://github.com/wikibook/keras" }, { "title": "QuickSolverKyle/Tensorflow-MyGANs", "url": "https://github.com/QuickSolverKyle/Tensorflow-MyGANs" }, { "title": "Tejas-Nanaware/GAN-Anime-Characters", "url": "https://github.com/Tejas-Nanaware/GAN-Anime-Characters" }, { "title": "conan7882/tf-gans", "url": "https://github.com/conan7882/tf-gans" }, { "title": "darr/DCGAN", "url": "https://github.com/darr/DCGAN" }, { "title": "suzana-ilic/pytorch_DCGANs", "url": "https://github.com/suzana-ilic/pytorch_DCGANs" }, { "title": "suzana-ilic/DCGANs_pytorch", "url": "https://github.com/suzana-ilic/DCGANs_pytorch" }, { "title": "Ksuryateja/DCGAN-CIFAR10-pytorch", "url": "https://github.com/Ksuryateja/DCGAN-CIFAR10-pytorch" }, { "title": "subinium/Pytorch-GAN-Keynote-KR", "url": "https://github.com/subinium/Pytorch-GAN-Keynote-KR" }, { "title": "LeChangAlex/GAN-Metric", "url": "https://github.com/LeChangAlex/GAN-Metric" }, { "title": "vinayakkailas/DCGAN", "url": "https://github.com/vinayakkailas/DCGAN" }, { "title": "Soumya1612-Rasha/Keras-GAN_rasha", "url": "https://github.com/Soumya1612-Rasha/Keras-GAN_rasha" }, { "title": "Masquerade51256/DCGAN_SignPicture", "url": "https://github.com/Masquerade51256/DCGAN_SignPicture" }, { "title": "MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS", "url": "https://github.com/MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS" }, { "title": "francis-kang/handson-unsupervised-learning", "url": "https://github.com/francis-kang/handson-unsupervised-learning" }, { "title": "HaijunMa/GAN-Getting-started-learning", "url": "https://github.com/HaijunMa/GAN-Getting-started-learning" }, { "title": "TUM-ML-Lab18/FaceSwap", "url": "https://github.com/TUM-ML-Lab18/FaceSwap" }, { "title": "cachett/DCGANandCAE", "url": "https://github.com/cachett/DCGANandCAE" }, { "title": "MakeDirtyCode/cDCGAN-celebA-pytorch", "url": "https://github.com/MakeDirtyCode/cDCGAN-celebA-pytorch" }, { "title": "HaijunMa/GAN", "url": "https://github.com/HaijunMa/GAN" }, { "title": "joshpc/StyledFontGAN", "url": "https://github.com/joshpc/StyledFontGAN" }, { "title": "esslushy/AbstractArtGenerator", "url": "https://github.com/esslushy/AbstractArtGenerator" }, { "title": "cshanjiewu/CVPR19", "url": "https://github.com/cshanjiewu/CVPR19" }, { "title": "Etienne-Meunier/Micropolis_GAN", "url": "https://github.com/Etienne-Meunier/Micropolis_GAN" }, { "title": "shivamswarnkar/Image-Generator", "url": "https://github.com/shivamswarnkar/Image-Generator" }, { "title": "hunnurjirao/DCGAN", "url": "https://github.com/hunnurjirao/DCGAN" }, { "title": "eecsdanny/AFAD_DCGAN", "url": "https://github.com/eecsdanny/AFAD_DCGAN" }, { "title": "qinpengzhi/myDCGAN", "url": "https://github.com/qinpengzhi/myDCGAN" }, { "title": "caffe-mocha/dcgan-pytorch-cifar10", "url": "https://github.com/caffe-mocha/dcgan-pytorch-cifar10" }, { "title": "jpowie01/DCGAN_CelebA", "url": "https://github.com/jpowie01/DCGAN_CelebA" }, { "title": "akanimax/dcgan_pytorch", "url": "https://github.com/akanimax/dcgan_pytorch" }, { "title": "tomhata/emojigan", "url": "https://github.com/tomhata/emojigan" }, { "title": "Adityasakare/Udacity-Deep-Learning-Nanodegree-", "url": "https://github.com/Adityasakare/Udacity-Deep-Learning-Nanodegree-" }, { "title": "egorix2000/wood-texture-generation", "url": "https://github.com/egorix2000/wood-texture-generation" }, { "title": "DanielLongo/GANs", "url": "https://github.com/DanielLongo/GANs" }, { "title": "VIRUS-ATTACK/DCGAN-GPU-IMPLEMENTATION", "url": "https://github.com/VIRUS-ATTACK/DCGAN-GPU-IMPLEMENTATION" }, { "title": "Atharva-Phatak/GAN_MNIST", "url": "https://github.com/Atharva-Phatak/GAN_MNIST" }, { "title": "schatty/dcgan-tf", "url": "https://github.com/schatty/dcgan-tf" }, { "title": "kpandey008/DCGANS", "url": "https://github.com/kpandey008/DCGANS" }, { "title": "pskrunner14/face-DCGAN", "url": "https://github.com/pskrunner14/face-DCGAN" }, { "title": "donand/GAN_pytorch", "url": "https://github.com/donand/GAN_pytorch" }, { "title": "vmartinezalvarez/Image-generation-GAN-vs-DCGAN", "url": "https://github.com/vmartinezalvarez/Image-generation-GAN-vs-DCGAN" }, { "title": "divyam25/Oh-My-GAN", "url": "https://github.com/divyam25/Oh-My-GAN" }, { "title": "MakeDirtyCode/DC-GAN-pytorch", "url": "https://github.com/MakeDirtyCode/DC-GAN-pytorch" }, { "title": "namepen/AI_school_proj", "url": "https://github.com/namepen/AI_school_proj" }, { "title": "Doyosae/CNN_Models", "url": "https://github.com/Doyosae/CNN_Models" }, { "title": "VIRUS-ATTACK/DCGAN-implementation.", "url": "https://github.com/VIRUS-ATTACK/DCGAN-implementation." }, { "title": "MustafaMustafa/dcgan-tf-benchmark", "url": "https://github.com/MustafaMustafa/dcgan-tf-benchmark" }, { "title": "DanielLongo/AdversarialTrain", "url": "https://github.com/DanielLongo/AdversarialTrain" }, { "title": "bbclr20/TensorFlow-Examples", "url": "https://github.com/bbclr20/TensorFlow-Examples" }, { "title": "tillns/CIL_project", "url": "https://github.com/tillns/CIL_project" }, { "title": "MakeDirtyCode/DCGAN-celebA-pytorch", "url": "https://github.com/MakeDirtyCode/DCGAN-celebA-pytorch" }, { "title": "llvictorll/AS", "url": "https://github.com/llvictorll/AS" }, { "title": "DanielLongo/cGANs", "url": "https://github.com/DanielLongo/cGANs" }, { "title": "YosukeHoshi/surveyed_paper", "url": "https://github.com/YosukeHoshi/surveyed_paper" }, { "title": "PDEUXA/AIF_CYCLEGAN", "url": "https://github.com/PDEUXA/AIF_CYCLEGAN" }, { "title": "jihoonerd/Unsupervised-Representation-Learning-with-Deep-Convolutional-Generative-Adversarial-Networks", "url": "https://github.com/jihoonerd/Unsupervised-Representation-Learning-with-Deep-Convolutional-Generative-Adversarial-Networks" }, { "title": "deepanshgoyal33/Papers", "url": "https://github.com/deepanshgoyal33/Papers" }, { "title": "johnnyjana730/keras_dcgan_car", "url": "https://github.com/johnnyjana730/keras_dcgan_car" }, { "title": "henry32144/wgan-gp-tensorflow", "url": "https://github.com/henry32144/wgan-gp-tensorflow" }, { "title": "sahand68/Deep-Convolutional-GAN", "url": "https://github.com/sahand68/Deep-Convolutional-GAN" }, { "title": "bourcierj/rdfia-tme10-gan", "url": "https://github.com/bourcierj/rdfia-tme10-gan" }, { "title": "SimRunBot/DCGAN", "url": "https://github.com/SimRunBot/DCGAN" }, { "title": "SamSamhuns/ml_gan_human_face_synthesis", "url": "https://github.com/SamSamhuns/ml_gan_human_face_synthesis" }, { "title": "Noxxel/floter", "url": "https://github.com/Noxxel/floter" }, { "title": "tapankumarmishra/machine_learning", "url": "https://github.com/tapankumarmishra/machine_learning" }, { "title": "anandchandra50/deep-space", "url": "https://github.com/anandchandra50/deep-space" }, { "title": "moritzsalla/patriotGAN", "url": "https://github.com/moritzsalla/patriotGAN" }, { "title": "mchiappe83/Generate_Faces", "url": "https://github.com/mchiappe83/Generate_Faces" }, { "title": "harshalnishar/dcgan_cifar10", "url": "https://github.com/harshalnishar/dcgan_cifar10" }, { "title": "ashantanu/DCGAN", "url": "https://github.com/ashantanu/DCGAN" }, { "title": "tylercroberts/funwithgans", "url": "https://github.com/tylercroberts/funwithgans" }, { "title": "jiajunhua/dcgan_code", "url": "https://github.com/jiajunhua/dcgan_code" }, { "title": "eggplant60/dcgan_anime", "url": "https://github.com/eggplant60/dcgan_anime" }, { "title": "shahbuland/basic-gans", "url": "https://github.com/shahbuland/basic-gans" }, { "title": "NicicDamjan/SoftKompjuting", "url": "https://github.com/NicicDamjan/SoftKompjuting" }, { "title": "yukia18/pytorch", "url": "https://github.com/yukia18/pytorch" }, { "title": "vohoaiviet/Advanced-Deep-Learning-with-Keras", "url": "https://github.com/vohoaiviet/Advanced-Deep-Learning-with-Keras" }, { "title": "AndreyBesedin/ImageClassification", "url": "https://github.com/AndreyBesedin/ImageClassification" }, { "title": "davidhalladay/CE-compressive-sensing-on-generative-model-pytorch", "url": "https://github.com/davidhalladay/CE-compressive-sensing-on-generative-model-pytorch" }, { "title": "mehdidc/hybrid-keras", "url": "https://github.com/mehdidc/hybrid-keras" }, { "title": "Ranchofromxgd/DCGAN_mnist", "url": "https://github.com/Ranchofromxgd/DCGAN_mnist" }, { "title": "richardrl/gan-pytorch", "url": "https://github.com/richardrl/gan-pytorch" }, { "title": "linxi159/dcgan_code", "url": "https://github.com/linxi159/dcgan_code" }, { "title": "sherdencooper/dcgan-mnist", "url": "https://github.com/sherdencooper/dcgan-mnist" }, { "title": "wlstyql/Pytorch", "url": "https://github.com/wlstyql/Pytorch" }, { "title": "zhangqianhui/DCGAN-tensorflow", "url": "https://github.com/zhangqianhui/DCGAN-tensorflow" }, { "title": "soyoung9306/GAN", "url": "https://github.com/soyoung9306/GAN" }, { "title": "vharaymonten/FaceGenerationWithGAN", "url": "https://github.com/vharaymonten/FaceGenerationWithGAN" }, { "title": "Murali81/InfoGAN", "url": "https://github.com/Murali81/InfoGAN" }, { "title": "cbxs123/Advanced-Deep-Learning-with-Keras", "url": "https://github.com/cbxs123/Advanced-Deep-Learning-with-Keras" }, { "title": "prodillo/GAN_project", "url": "https://github.com/prodillo/GAN_project" }, { "title": "virafpatrawala/DCGAN", "url": "https://github.com/virafpatrawala/DCGAN" }, { "title": "akjgskwi/DCGAN_implement", "url": "https://github.com/akjgskwi/DCGAN_implement" }, { "title": "Ksuryateja/DCGAN-MNIST-pytorch", "url": "https://github.com/Ksuryateja/DCGAN-MNIST-pytorch" }, { "title": "SoumyadeepJana/CelebrityFaceGeneration", "url": "https://github.com/SoumyadeepJana/CelebrityFaceGeneration" }, { "title": "gcwl/pytorch-dcgan", "url": "https://github.com/gcwl/pytorch-dcgan" }, { "title": "Zachdr1/GANs", "url": "https://github.com/Zachdr1/GANs" }, { "title": "4ndyparr/DCGAN-landscapes", "url": "https://github.com/4ndyparr/DCGAN-landscapes" }, { "title": "Jason-CKY/pokeGAN_fusion", "url": "https://github.com/Jason-CKY/pokeGAN_fusion" }, { "title": "darkhill11/convolutional_GAN_basics", "url": "https://github.com/darkhill11/convolutional_GAN_basics" }, { "title": "addy369/DCGANS", "url": "https://github.com/addy369/DCGANS" }, { "title": "LendelTheGreat/minimalGANs", "url": "https://github.com/LendelTheGreat/minimalGANs" }, { "title": "laplaisanterie/GAN", "url": "https://github.com/laplaisanterie/GAN" }, { "title": "jparcill/gansbestfriend", "url": "https://github.com/jparcill/gansbestfriend" }, { "title": "kseuro/gan_project", "url": "https://github.com/kseuro/gan_project" }, { "title": "mlz8/GAN-Reading-List", "url": "https://github.com/mlz8/GAN-Reading-List" }, { "title": "AKASHKADEL/dcgan-mnist", "url": "https://github.com/AKASHKADEL/dcgan-mnist" }, { "title": "polmonroig/faceGAN", "url": "https://github.com/polmonroig/faceGAN" }, { "title": "psmenon/DCGAN", "url": "https://github.com/psmenon/DCGAN" }, { "title": "XiafeiYu/DCGAN", "url": "https://github.com/XiafeiYu/DCGAN" }, { "title": "KostasTok/keras_DCGAN_transfer_learning", "url": "https://github.com/KostasTok/keras_DCGAN_transfer_learning" }, { "title": "kuangshengkai/dcgan-keras", "url": "https://github.com/kuangshengkai/dcgan-keras" }, { "title": "ansrlm/ML_DCGAN", "url": "https://github.com/ansrlm/ML_DCGAN" }, { "title": "Ayush-Goyal-coding/GANs", "url": "https://github.com/Ayush-Goyal-coding/GANs" } ], "date": "2015-11-19", "date2": 20151119, "model": "TSVM", "paper": { "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "url": "https://cknow.io/lib/40f0064fe462db1a" }, "paper_data_uoa": "40f0064fe462db1a" }, { "Percentage error": 77.93, "code_links": [ { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/gan" }, { "title": "eriklindernoren/Keras-GAN", "url": "https://github.com/eriklindernoren/Keras-GAN" }, { "title": "eriklindernoren/PyTorch-GAN", "url": "https://github.com/eriklindernoren/PyTorch-GAN" }, { "title": "carpedm20/DCGAN-tensorflow", "url": "https://github.com/carpedm20/DCGAN-tensorflow" }, { "title": "tensorpack/tensorpack", "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/GAN" }, { "title": "junyanz/iGAN", "url": "https://github.com/junyanz/iGAN" }, { "title": "Newmu/dcgan_code", "url": "https://github.com/Newmu/dcgan_code" }, { "title": "robbiebarrat/art-DCGAN", "url": "https://github.com/robbiebarrat/art-DCGAN" }, { "title": "facebookresearch/pytorch_GAN_zoo", "url": "https://github.com/facebookresearch/pytorch_GAN_zoo" }, { "title": "taoxugit/AttnGAN", "url": "https://github.com/taoxugit/AttnGAN" }, { "title": "jacobgil/keras-dcgan", "url": "https://github.com/jacobgil/keras-dcgan" }, { "title": "mattya/chainer-DCGAN", "url": "https://github.com/mattya/chainer-DCGAN" }, { "title": "timsainb/Tensorflow-MultiGPU-VAE-GAN", "url": "https://github.com/timsainb/Tensorflow-MultiGPU-VAE-GAN" }, { "title": "LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow", "url": "https://github.com/LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow" }, { "title": "znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN", "url": "https://github.com/znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN" }, { "title": "tensorlayer/dcgan", "url": "https://github.com/tensorlayer/dcgan" }, { "title": "Guim3/IcGAN", "url": "https://github.com/Guim3/IcGAN" }, { "title": "tdrussell/IllustrationGAN", "url": "https://github.com/tdrussell/IllustrationGAN" }, { "title": "sugyan/tf-dcgan", "url": "https://github.com/sugyan/tf-dcgan" }, { "title": "pearsonkyle/Artificial-Art", "url": "https://github.com/pearsonkyle/Artificial-Art" }, { "title": "pearsonkyle/Neural-Nebula", "url": "https://github.com/pearsonkyle/Neural-Nebula" }, { "title": "jesse1029/Fake-Face-Images-Detection-Tensorflow", "url": "https://github.com/jesse1029/Fake-Face-Images-Detection-Tensorflow" }, { "title": "ChengBinJin/WGAN-TensorFlow", "url": "https://github.com/ChengBinJin/WGAN-TensorFlow" }, { "title": "Mckinsey666/ACGAN-Anime-Generation", "url": "https://github.com/Mckinsey666/ACGAN-Anime-Generation" }, { "title": "Mckinsey666/Anime-Generation", "url": "https://github.com/Mckinsey666/Anime-Generation" }, { "title": "davidstap/AttnGAN", "url": "https://github.com/davidstap/AttnGAN" }, { "title": "MustafaMustafa/cosmoGAN", "url": "https://github.com/MustafaMustafa/cosmoGAN" }, { "title": "Natsu6767/DCGAN-PyTorch", "url": "https://github.com/Natsu6767/DCGAN-PyTorch" }, { "title": "iArunava/DCGAN", "url": "https://github.com/iArunava/DCGAN" }, { "title": "marload/TensorFlow2-GANs", "url": "https://github.com/marload/TensorFlow2-GANs" }, { "title": "marload/GANs-TensorFlow2", "url": "https://github.com/marload/GANs-TensorFlow2" }, { "title": "ChengBinJin/DCGAN-TensorFlow", "url": "https://github.com/ChengBinJin/DCGAN-TensorFlow" }, { "title": "mickaelChen/GMV", "url": "https://github.com/mickaelChen/GMV" }, { "title": "captain-pool/DC-GAN", "url": "https://github.com/captain-pool/DC-GAN" }, { "title": "wikibook/keras", "url": "https://github.com/wikibook/keras" }, { "title": "QuickSolverKyle/Tensorflow-MyGANs", "url": "https://github.com/QuickSolverKyle/Tensorflow-MyGANs" }, { "title": "Tejas-Nanaware/GAN-Anime-Characters", "url": "https://github.com/Tejas-Nanaware/GAN-Anime-Characters" }, { "title": "conan7882/tf-gans", "url": "https://github.com/conan7882/tf-gans" }, { "title": "darr/DCGAN", "url": "https://github.com/darr/DCGAN" }, { "title": "suzana-ilic/pytorch_DCGANs", "url": "https://github.com/suzana-ilic/pytorch_DCGANs" }, { "title": "suzana-ilic/DCGANs_pytorch", "url": "https://github.com/suzana-ilic/DCGANs_pytorch" }, { "title": "Ksuryateja/DCGAN-CIFAR10-pytorch", "url": "https://github.com/Ksuryateja/DCGAN-CIFAR10-pytorch" }, { "title": "subinium/Pytorch-GAN-Keynote-KR", "url": "https://github.com/subinium/Pytorch-GAN-Keynote-KR" }, { "title": "LeChangAlex/GAN-Metric", "url": "https://github.com/LeChangAlex/GAN-Metric" }, { "title": "vinayakkailas/DCGAN", "url": "https://github.com/vinayakkailas/DCGAN" }, { "title": "Soumya1612-Rasha/Keras-GAN_rasha", "url": "https://github.com/Soumya1612-Rasha/Keras-GAN_rasha" }, { "title": "Masquerade51256/DCGAN_SignPicture", "url": "https://github.com/Masquerade51256/DCGAN_SignPicture" }, { "title": "MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS", "url": "https://github.com/MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS" }, { "title": "francis-kang/handson-unsupervised-learning", "url": "https://github.com/francis-kang/handson-unsupervised-learning" }, { "title": "HaijunMa/GAN-Getting-started-learning", "url": "https://github.com/HaijunMa/GAN-Getting-started-learning" }, { "title": "TUM-ML-Lab18/FaceSwap", "url": "https://github.com/TUM-ML-Lab18/FaceSwap" }, { "title": "cachett/DCGANandCAE", "url": "https://github.com/cachett/DCGANandCAE" }, { "title": "MakeDirtyCode/cDCGAN-celebA-pytorch", "url": "https://github.com/MakeDirtyCode/cDCGAN-celebA-pytorch" }, { "title": "HaijunMa/GAN", "url": "https://github.com/HaijunMa/GAN" }, { "title": "joshpc/StyledFontGAN", "url": "https://github.com/joshpc/StyledFontGAN" }, { "title": "esslushy/AbstractArtGenerator", "url": "https://github.com/esslushy/AbstractArtGenerator" }, { "title": "cshanjiewu/CVPR19", "url": "https://github.com/cshanjiewu/CVPR19" }, { "title": "Etienne-Meunier/Micropolis_GAN", "url": "https://github.com/Etienne-Meunier/Micropolis_GAN" }, { "title": "shivamswarnkar/Image-Generator", "url": "https://github.com/shivamswarnkar/Image-Generator" }, { "title": "hunnurjirao/DCGAN", "url": "https://github.com/hunnurjirao/DCGAN" }, { "title": "eecsdanny/AFAD_DCGAN", "url": "https://github.com/eecsdanny/AFAD_DCGAN" }, { "title": "qinpengzhi/myDCGAN", "url": "https://github.com/qinpengzhi/myDCGAN" }, { "title": "caffe-mocha/dcgan-pytorch-cifar10", "url": "https://github.com/caffe-mocha/dcgan-pytorch-cifar10" }, { "title": "jpowie01/DCGAN_CelebA", "url": "https://github.com/jpowie01/DCGAN_CelebA" }, { "title": "akanimax/dcgan_pytorch", "url": "https://github.com/akanimax/dcgan_pytorch" }, { "title": "tomhata/emojigan", "url": "https://github.com/tomhata/emojigan" }, { "title": "Adityasakare/Udacity-Deep-Learning-Nanodegree-", "url": "https://github.com/Adityasakare/Udacity-Deep-Learning-Nanodegree-" }, { "title": "egorix2000/wood-texture-generation", "url": "https://github.com/egorix2000/wood-texture-generation" }, { "title": "DanielLongo/GANs", "url": "https://github.com/DanielLongo/GANs" }, { "title": "VIRUS-ATTACK/DCGAN-GPU-IMPLEMENTATION", "url": "https://github.com/VIRUS-ATTACK/DCGAN-GPU-IMPLEMENTATION" }, { "title": "Atharva-Phatak/GAN_MNIST", "url": "https://github.com/Atharva-Phatak/GAN_MNIST" }, { "title": "schatty/dcgan-tf", "url": "https://github.com/schatty/dcgan-tf" }, { "title": "kpandey008/DCGANS", "url": "https://github.com/kpandey008/DCGANS" }, { "title": "pskrunner14/face-DCGAN", "url": "https://github.com/pskrunner14/face-DCGAN" }, { "title": "donand/GAN_pytorch", "url": "https://github.com/donand/GAN_pytorch" }, { "title": "vmartinezalvarez/Image-generation-GAN-vs-DCGAN", "url": "https://github.com/vmartinezalvarez/Image-generation-GAN-vs-DCGAN" }, { "title": "divyam25/Oh-My-GAN", "url": "https://github.com/divyam25/Oh-My-GAN" }, { "title": "MakeDirtyCode/DC-GAN-pytorch", "url": "https://github.com/MakeDirtyCode/DC-GAN-pytorch" }, { "title": "namepen/AI_school_proj", "url": "https://github.com/namepen/AI_school_proj" }, { "title": "Doyosae/CNN_Models", "url": "https://github.com/Doyosae/CNN_Models" }, { "title": "VIRUS-ATTACK/DCGAN-implementation.", "url": "https://github.com/VIRUS-ATTACK/DCGAN-implementation." }, { "title": "MustafaMustafa/dcgan-tf-benchmark", "url": "https://github.com/MustafaMustafa/dcgan-tf-benchmark" }, { "title": "DanielLongo/AdversarialTrain", "url": "https://github.com/DanielLongo/AdversarialTrain" }, { "title": "bbclr20/TensorFlow-Examples", "url": "https://github.com/bbclr20/TensorFlow-Examples" }, { "title": "tillns/CIL_project", "url": "https://github.com/tillns/CIL_project" }, { "title": "MakeDirtyCode/DCGAN-celebA-pytorch", "url": "https://github.com/MakeDirtyCode/DCGAN-celebA-pytorch" }, { "title": "llvictorll/AS", "url": "https://github.com/llvictorll/AS" }, { "title": "DanielLongo/cGANs", "url": "https://github.com/DanielLongo/cGANs" }, { "title": "YosukeHoshi/surveyed_paper", "url": "https://github.com/YosukeHoshi/surveyed_paper" }, { "title": "PDEUXA/AIF_CYCLEGAN", "url": "https://github.com/PDEUXA/AIF_CYCLEGAN" }, { "title": "jihoonerd/Unsupervised-Representation-Learning-with-Deep-Convolutional-Generative-Adversarial-Networks", "url": "https://github.com/jihoonerd/Unsupervised-Representation-Learning-with-Deep-Convolutional-Generative-Adversarial-Networks" }, { "title": "deepanshgoyal33/Papers", "url": "https://github.com/deepanshgoyal33/Papers" }, { "title": "johnnyjana730/keras_dcgan_car", "url": "https://github.com/johnnyjana730/keras_dcgan_car" }, { "title": "henry32144/wgan-gp-tensorflow", "url": "https://github.com/henry32144/wgan-gp-tensorflow" }, { "title": "sahand68/Deep-Convolutional-GAN", "url": "https://github.com/sahand68/Deep-Convolutional-GAN" }, { "title": "bourcierj/rdfia-tme10-gan", "url": "https://github.com/bourcierj/rdfia-tme10-gan" }, { "title": "SimRunBot/DCGAN", "url": "https://github.com/SimRunBot/DCGAN" }, { "title": "SamSamhuns/ml_gan_human_face_synthesis", "url": "https://github.com/SamSamhuns/ml_gan_human_face_synthesis" }, { "title": "Noxxel/floter", "url": "https://github.com/Noxxel/floter" }, { "title": "tapankumarmishra/machine_learning", "url": "https://github.com/tapankumarmishra/machine_learning" }, { "title": "anandchandra50/deep-space", "url": "https://github.com/anandchandra50/deep-space" }, { "title": "moritzsalla/patriotGAN", "url": "https://github.com/moritzsalla/patriotGAN" }, { "title": "mchiappe83/Generate_Faces", "url": "https://github.com/mchiappe83/Generate_Faces" }, { "title": "harshalnishar/dcgan_cifar10", "url": "https://github.com/harshalnishar/dcgan_cifar10" }, { "title": "ashantanu/DCGAN", "url": "https://github.com/ashantanu/DCGAN" }, { "title": "tylercroberts/funwithgans", "url": "https://github.com/tylercroberts/funwithgans" }, { "title": "jiajunhua/dcgan_code", "url": "https://github.com/jiajunhua/dcgan_code" }, { "title": "eggplant60/dcgan_anime", "url": "https://github.com/eggplant60/dcgan_anime" }, { "title": "shahbuland/basic-gans", "url": "https://github.com/shahbuland/basic-gans" }, { "title": "NicicDamjan/SoftKompjuting", "url": "https://github.com/NicicDamjan/SoftKompjuting" }, { "title": "yukia18/pytorch", "url": "https://github.com/yukia18/pytorch" }, { "title": "vohoaiviet/Advanced-Deep-Learning-with-Keras", "url": "https://github.com/vohoaiviet/Advanced-Deep-Learning-with-Keras" }, { "title": "AndreyBesedin/ImageClassification", "url": "https://github.com/AndreyBesedin/ImageClassification" }, { "title": "davidhalladay/CE-compressive-sensing-on-generative-model-pytorch", "url": "https://github.com/davidhalladay/CE-compressive-sensing-on-generative-model-pytorch" }, { "title": "mehdidc/hybrid-keras", "url": "https://github.com/mehdidc/hybrid-keras" }, { "title": "Ranchofromxgd/DCGAN_mnist", "url": "https://github.com/Ranchofromxgd/DCGAN_mnist" }, { "title": "richardrl/gan-pytorch", "url": "https://github.com/richardrl/gan-pytorch" }, { "title": "linxi159/dcgan_code", "url": "https://github.com/linxi159/dcgan_code" }, { "title": "sherdencooper/dcgan-mnist", "url": "https://github.com/sherdencooper/dcgan-mnist" }, { "title": "wlstyql/Pytorch", "url": "https://github.com/wlstyql/Pytorch" }, { "title": "zhangqianhui/DCGAN-tensorflow", "url": "https://github.com/zhangqianhui/DCGAN-tensorflow" }, { "title": "soyoung9306/GAN", "url": "https://github.com/soyoung9306/GAN" }, { "title": "vharaymonten/FaceGenerationWithGAN", "url": "https://github.com/vharaymonten/FaceGenerationWithGAN" }, { "title": "Murali81/InfoGAN", "url": "https://github.com/Murali81/InfoGAN" }, { "title": "cbxs123/Advanced-Deep-Learning-with-Keras", "url": "https://github.com/cbxs123/Advanced-Deep-Learning-with-Keras" }, { "title": "prodillo/GAN_project", "url": "https://github.com/prodillo/GAN_project" }, { "title": "virafpatrawala/DCGAN", "url": "https://github.com/virafpatrawala/DCGAN" }, { "title": "akjgskwi/DCGAN_implement", "url": "https://github.com/akjgskwi/DCGAN_implement" }, { "title": "Ksuryateja/DCGAN-MNIST-pytorch", "url": "https://github.com/Ksuryateja/DCGAN-MNIST-pytorch" }, { "title": "SoumyadeepJana/CelebrityFaceGeneration", "url": "https://github.com/SoumyadeepJana/CelebrityFaceGeneration" }, { "title": "gcwl/pytorch-dcgan", "url": "https://github.com/gcwl/pytorch-dcgan" }, { "title": "Zachdr1/GANs", "url": "https://github.com/Zachdr1/GANs" }, { "title": "4ndyparr/DCGAN-landscapes", "url": "https://github.com/4ndyparr/DCGAN-landscapes" }, { "title": "Jason-CKY/pokeGAN_fusion", "url": "https://github.com/Jason-CKY/pokeGAN_fusion" }, { "title": "darkhill11/convolutional_GAN_basics", "url": "https://github.com/darkhill11/convolutional_GAN_basics" }, { "title": "addy369/DCGANS", "url": "https://github.com/addy369/DCGANS" }, { "title": "LendelTheGreat/minimalGANs", "url": "https://github.com/LendelTheGreat/minimalGANs" }, { "title": "laplaisanterie/GAN", "url": "https://github.com/laplaisanterie/GAN" }, { "title": "jparcill/gansbestfriend", "url": "https://github.com/jparcill/gansbestfriend" }, { "title": "kseuro/gan_project", "url": "https://github.com/kseuro/gan_project" }, { "title": "mlz8/GAN-Reading-List", "url": "https://github.com/mlz8/GAN-Reading-List" }, { "title": "AKASHKADEL/dcgan-mnist", "url": "https://github.com/AKASHKADEL/dcgan-mnist" }, { "title": "polmonroig/faceGAN", "url": "https://github.com/polmonroig/faceGAN" }, { "title": "psmenon/DCGAN", "url": "https://github.com/psmenon/DCGAN" }, { "title": "XiafeiYu/DCGAN", "url": "https://github.com/XiafeiYu/DCGAN" }, { "title": "KostasTok/keras_DCGAN_transfer_learning", "url": "https://github.com/KostasTok/keras_DCGAN_transfer_learning" }, { "title": "kuangshengkai/dcgan-keras", "url": "https://github.com/kuangshengkai/dcgan-keras" }, { "title": "ansrlm/ML_DCGAN", "url": "https://github.com/ansrlm/ML_DCGAN" }, { "title": "Ayush-Goyal-coding/GANs", "url": "https://github.com/Ayush-Goyal-coding/GANs" } ], "date": "2015-11-19", "date2": 20151119, "model": "KNN", "paper": { "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", "url": "https://cknow.io/lib/40f0064fe462db1a" }, "paper_data_uoa": "40f0064fe462db1a" } ]