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        "title": "google-research/big_transfer",
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        "title": "SoojungYang/supervised_pretraining_GN_WS",
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        "title": "google-research/big_transfer",
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        "title": "osmr/imgclsmob",
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        "title": "qubvel/efficientnet",
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        "title": "kakaobrain/autoclint",
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        "title": "tgilewicz/uniformaugment",
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        "title": "richardaecn/cvpr18-inaturalist-transfer",
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        "title": "fengjiqiang/pretrainedmodel_pytorch",
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        "title": "harshit0511/Deep-Learning",
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        "title": "Zelgunn/CustomKerasLayers",
        "url": "https://github.com/Zelgunn/CustomKerasLayers"
      },
      {
        "title": "yanivbl6/fixup",
        "url": "https://github.com/yanivbl6/fixup"
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      {
        "title": "AngusG/bn-advex-zhang-fixup",
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        "title": "Abhimanyu08/Fixup_Initialization",
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    "Percentage correct": 97.61,
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        "title": "xiaomi-automl/NoisyDARTS",
        "url": "https://github.com/xiaomi-automl/NoisyDARTS"
      }
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    "model": "NoisyDARTS-a",
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      "title": "Noisy Differentiable Architecture Search",
      "url": "https://cknow.io/lib/7477d847f48de672"
    },
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  {
    "Percentage correct": 97.45,
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      {
        "title": "vikasverma1077/manifold_mixup",
        "url": "https://github.com/vikasverma1077/manifold_mixup"
      },
      {
        "title": "yhu01/PT-MAP",
        "url": "https://github.com/yhu01/PT-MAP"
      },
      {
        "title": "DaikiTanak/manifold_mixup",
        "url": "https://github.com/DaikiTanak/manifold_mixup"
      },
      {
        "title": "shivamsaboo17/ManifoldMixup",
        "url": "https://github.com/shivamsaboo17/ManifoldMixup"
      },
      {
        "title": "makeyourownmaker/mixup",
        "url": "https://github.com/makeyourownmaker/mixup"
      },
      {
        "title": "rahulmadanahalli/manifold_mixup",
        "url": "https://github.com/rahulmadanahalli/manifold_mixup"
      }
    ],
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    "model": "Manifold Mixup WRN 28-10",
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      "title": "Manifold Mixup: Better Representations by Interpolating Hidden States",
      "url": "https://cknow.io/lib/f42eeb87abd26c47"
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    "FLOPS": "232M",
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      {
        "title": "human-analysis/neural-architecture-transfer",
        "url": "https://github.com/human-analysis/neural-architecture-transfer"
      }
    ],
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    "model": "NAT-M1",
    "paper": {
      "title": "Neural Architecture Transfer",
      "url": "https://cknow.io/lib/39d85c0ca3544231"
    },
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  {
    "Percentage correct": 97.3,
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        "title": "rwightman/pytorch-image-models",
        "url": "https://github.com/rwightman/pytorch-image-models"
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      {
        "title": "facebookresearch/mixup-cifar10",
        "url": "https://github.com/facebookresearch/mixup-cifar10"
      },
      {
        "title": "hongyi-zhang/mixup",
        "url": "https://github.com/hongyi-zhang/mixup"
      },
      {
        "title": "david8862/keras-YOLOv3-model-set",
        "url": "https://github.com/david8862/keras-YOLOv3-model-set"
      },
      {
        "title": "lRomul/argus-freesound",
        "url": "https://github.com/lRomul/argus-freesound"
      },
      {
        "title": "hongyi-zhang/Fixup",
        "url": "https://github.com/hongyi-zhang/Fixup"
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      {
        "title": "tugstugi/pytorch-speech-commands",
        "url": "https://github.com/tugstugi/pytorch-speech-commands"
      },
      {
        "title": "JunweiLiang/Object_Detection_Tracking",
        "url": "https://github.com/JunweiLiang/Object_Detection_Tracking"
      },
      {
        "title": "scut-aitcm/Competitive-Inner-Imaging-SENet",
        "url": "https://github.com/scut-aitcm/Competitive-Inner-Imaging-SENet"
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      {
        "title": "scut-aitcm/CompetitiveSENet",
        "url": "https://github.com/scut-aitcm/CompetitiveSENet"
      },
      {
        "title": "simongrest/farm-pin-crop-detection-challenge",
        "url": "https://github.com/simongrest/farm-pin-crop-detection-challenge"
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      {
        "title": "P2333/Mixup-Inference",
        "url": "https://github.com/P2333/Mixup-Inference"
      },
      {
        "title": "rit-git/Snippext_public",
        "url": "https://github.com/rit-git/Snippext_public"
      },
      {
        "title": "jonnor/datascience-master",
        "url": "https://github.com/jonnor/datascience-master"
      },
      {
        "title": "yell/kaggle-camera",
        "url": "https://github.com/yell/kaggle-camera"
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      {
        "title": "simongrest/kaggle-freesound-audio-tagging-2019",
        "url": "https://github.com/simongrest/kaggle-freesound-audio-tagging-2019"
      },
      {
        "title": "jianshen92/stanford-car-grab-challenge",
        "url": "https://github.com/jianshen92/stanford-car-grab-challenge"
      },
      {
        "title": "tanmaypandey7/wheat-detection",
        "url": "https://github.com/tanmaypandey7/wheat-detection"
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      {
        "title": "AngusG/bn-advex-zhang-fixup",
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        "title": "amerch/CIFAR100-Training",
        "url": "https://github.com/amerch/CIFAR100-Training"
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      {
        "title": "transcendentsky/mixup",
        "url": "https://github.com/transcendentsky/mixup"
      },
      {
        "title": "makeyourownmaker/mixup",
        "url": "https://github.com/makeyourownmaker/mixup"
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      {
        "title": "jmaronas/calibration_MixupDNN_ARCLoss.pytorch",
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      },
      {
        "title": "OFRIN/Tensorflow_MixUp",
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      {
        "title": "toshi-k/kaggle-bengaliai-handwritten-grapheme-classification",
        "url": "https://github.com/toshi-k/kaggle-bengaliai-handwritten-grapheme-classification"
      },
      {
        "title": "akjgskwi/mixup_chainer",
        "url": "https://github.com/akjgskwi/mixup_chainer"
      },
      {
        "title": "teang1995/satellite_image_task",
        "url": "https://github.com/teang1995/satellite_image_task"
      },
      {
        "title": "Bennie-Han/Image-augementation-pytorch",
        "url": "https://github.com/Bennie-Han/Image-augementation-pytorch"
      },
      {
        "title": "CaoShuning/MIXUP",
        "url": "https://github.com/CaoShuning/MIXUP"
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      {
        "title": "Taoudi/DataAugmentation",
        "url": "https://github.com/Taoudi/DataAugmentation"
      }
    ],
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    "paper": {
      "title": "mixup: Beyond Empirical Risk Minimization",
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    "Percentage correct": 97.12,
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        "title": "timgaripov/swa",
        "url": "https://github.com/timgaripov/swa"
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      {
        "title": "wjmaddox/swa_gaussian",
        "url": "https://github.com/wjmaddox/swa_gaussian"
      },
      {
        "title": "benathi/fastswa-semi-sup",
        "url": "https://github.com/benathi/fastswa-semi-sup"
      },
      {
        "title": "kristpapadopoulos/keras-stochastic-weight-averaging",
        "url": "https://github.com/kristpapadopoulos/keras-stochastic-weight-averaging"
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      {
        "title": "simon-larsson/keras-swa",
        "url": "https://github.com/simon-larsson/keras-swa"
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      {
        "title": "izmailovpavel/contrib_swa_examples",
        "url": "https://github.com/izmailovpavel/contrib_swa_examples"
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      {
        "title": "izmailovpavel/torch_swa_examples",
        "url": "https://github.com/izmailovpavel/torch_swa_examples"
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      {
        "title": "cmu-enyac/Renofeation",
        "url": "https://github.com/cmu-enyac/Renofeation"
      },
      {
        "title": "Morxrc/kaggle_generate-dogs_public-1st-private-16th-solution",
        "url": "https://github.com/Morxrc/kaggle_generate-dogs_public-1st-private-16th-solution"
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      {
        "title": "NajibYavari/DD2412",
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      {
        "title": "seominseok0429/Awesome-ensemble-papers",
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      {
        "title": "GeorgOhneH/WerbeSkip",
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        "title": "rwightman/pytorch-image-models",
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      {
        "title": "clovaai/CutMix-PyTorch",
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      {
        "title": "ildoonet/cutmix",
        "url": "https://github.com/ildoonet/cutmix"
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      {
        "title": "hysts/pytorch_cutmix",
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      {
        "title": "DevBruce/CutMixImageDataGenerator_For_Keras",
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      },
      {
        "title": "kboseong/RotNet",
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      {
        "title": "airplane2230/keras_cutmix",
        "url": "https://github.com/airplane2230/keras_cutmix"
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      {
        "title": "SyogoShibuya/Chainer-Cutmix",
        "url": "https://github.com/SyogoShibuya/Chainer-Cutmix"
      },
      {
        "title": "toshi-k/kaggle-bengaliai-handwritten-grapheme-classification",
        "url": "https://github.com/toshi-k/kaggle-bengaliai-handwritten-grapheme-classification"
      },
      {
        "title": "Bennie-Han/Image-augementation-pytorch",
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        "title": "timgaripov/swa",
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      {
        "title": "wjmaddox/swa_gaussian",
        "url": "https://github.com/wjmaddox/swa_gaussian"
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      {
        "title": "benathi/fastswa-semi-sup",
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      {
        "title": "kristpapadopoulos/keras-stochastic-weight-averaging",
        "url": "https://github.com/kristpapadopoulos/keras-stochastic-weight-averaging"
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      {
        "title": "simon-larsson/keras-swa",
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      {
        "title": "izmailovpavel/contrib_swa_examples",
        "url": "https://github.com/izmailovpavel/contrib_swa_examples"
      },
      {
        "title": "izmailovpavel/torch_swa_examples",
        "url": "https://github.com/izmailovpavel/torch_swa_examples"
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      {
        "title": "cmu-enyac/Renofeation",
        "url": "https://github.com/cmu-enyac/Renofeation"
      },
      {
        "title": "Morxrc/kaggle_generate-dogs_public-1st-private-16th-solution",
        "url": "https://github.com/Morxrc/kaggle_generate-dogs_public-1st-private-16th-solution"
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      {
        "title": "NajibYavari/DD2412",
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        "title": "seominseok0429/Awesome-ensemble-papers",
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        "title": "McDonnell-Lab/1-bit-per-weight",
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      "url": "https://cknow.io/lib/82f8f4b51ba6bc65"
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    "Percentage correct": 96.69,
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      {
        "title": "dyhan0920/PyramidNet-PyTorch",
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      {
        "title": "marload/ConvNets-TensorFlow2",
        "url": "https://github.com/marload/ConvNets-TensorFlow2"
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        "title": "Stick-To/PyramidNet-tensorflow",
        "url": "https://github.com/Stick-To/PyramidNet-tensorflow"
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        "title": "Stick-To/PyramidNet-TF",
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        "title": "1490581824/PyramidNet-Keras",
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      "url": "https://cknow.io/lib/fe2a3f44ebe9106c"
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    "Percentage correct": 96.54,
    "code_links": [
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        "title": "pytorch/vision",
        "url": "https://github.com/pytorch/vision"
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      {
        "title": "liuzhuang13/DenseNet",
        "url": "https://github.com/liuzhuang13/DenseNet"
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        "title": "bamos/densenet.pytorch",
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      {
        "title": "flyyufelix/DenseNet-Keras",
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        "title": "SimJeg/FC-DenseNet",
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      {
        "title": "shicai/DenseNet-Caffe",
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      {
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        "title": "wikke/Tianchi-Medical-LungTumorDetect",
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        "title": "liuzhuang13/DenseNetCaffe",
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        "title": "ikhlestov/vision_networks",
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        "title": "ShiyuLiang/odin-pytorch",
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        "title": "pudae/tensorflow-densenet",
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        "title": "noahfl/densenet-sdr",
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        "title": "YerevaNN/DIIN-in-Keras",
        "url": "https://github.com/YerevaNN/DIIN-in-Keras"
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      {
        "title": "hycis/TensorGraph",
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        "title": "pyaf/DenseNet-MURA-PyTorch",
        "url": "https://github.com/pyaf/DenseNet-MURA-PyTorch"
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        "title": "albarji/neurowriter",
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        "title": "gaetandi/cheXpert",
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        "title": "marload/ConvNets-TensorFlow2",
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      {
        "title": "seasonyc/densenet",
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      {
        "title": "wangbinglin1995/tianchi",
        "url": "https://github.com/wangbinglin1995/tianchi"
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      {
        "title": "DaikiTanak/manifold_mixup",
        "url": "https://github.com/DaikiTanak/manifold_mixup"
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        "title": "xypan1232/iDeepE",
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        "title": "jonnor/datascience-master",
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        "title": "okason97/DenseNet-Tensorflow2",
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        "title": "asprenger/keras_fc_densenet",
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        "title": "fengjiqiang/pretrainedmodel_pytorch",
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        "title": "jbernoz/deeppolyp",
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        "url": "https://github.com/Stick-To/DenseNet-TF"
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        "title": "luanshiyinyang/DenseNet",
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      {
        "title": "johntd54/stanford_car",
        "url": "https://github.com/johntd54/stanford_car"
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      {
        "title": "midusi/cacic2019-handshapes",
        "url": "https://github.com/midusi/cacic2019-handshapes"
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        "title": "okason97/handshape-recognition",
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      {
        "title": "ericjang/odin",
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      {
        "title": "fabiofumarola/ultrayolo",
        "url": "https://github.com/fabiofumarola/ultrayolo"
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      {
        "title": "yichigo/Chest-X-Ray",
        "url": "https://github.com/yichigo/Chest-X-Ray"
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      {
        "title": "GeoTrouvetout/Vehicle_ReID",
        "url": "https://github.com/GeoTrouvetout/Vehicle_ReID"
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      {
        "title": "lab-midas/med_segmentation",
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      {
        "title": "pmcgrath249/DeepCVLab",
        "url": "https://github.com/pmcgrath249/DeepCVLab"
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        "title": "pmcgrath249/DeepCV_Lab",
        "url": "https://github.com/pmcgrath249/DeepCV_Lab"
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      {
        "title": "nellopai/deepLearningModels",
        "url": "https://github.com/nellopai/deepLearningModels"
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      {
        "title": "chvlyl/python_tips",
        "url": "https://github.com/chvlyl/python_tips"
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      {
        "title": "gargarchit/60DaysOfUdacity",
        "url": "https://github.com/gargarchit/60DaysOfUdacity"
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      {
        "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"
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      {
        "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"
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      {
        "title": "atapour/ransomware-classification",
        "url": "https://github.com/atapour/ransomware-classification"
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      {
        "title": "CeLaMbDa/DenseNet_keras",
        "url": "https://github.com/CeLaMbDa/DenseNet_keras"
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      {
        "title": "minggli/DenseNet",
        "url": "https://github.com/minggli/DenseNet"
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      {
        "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"
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      {
        "title": "zjZSTU/ResNet",
        "url": "https://github.com/zjZSTU/ResNet"
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      {
        "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"
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      {
        "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",
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      {
        "title": "Anil1331/DenseNet",
        "url": "https://github.com/Anil1331/DenseNet"
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      {
        "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"
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      {
        "title": "cges60809/DenseNet",
        "url": "https://github.com/cges60809/DenseNet"
      }
    ],
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    "date2": 20160825,
    "model": "DenseNet",
    "paper": {
      "title": "Densely Connected Convolutional Networks",
      "url": "https://cknow.io/lib/446284c13553edd1"
    },
    "paper_data_uoa": "446284c13553edd1"
  },
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    "Percentage correct": 96.53,
    "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": "implus/PytorchInsight",
        "url": "https://github.com/implus/PytorchInsight"
      },
      {
        "title": "implus/SKNet",
        "url": "https://github.com/implus/SKNet"
      },
      {
        "title": "developer0hye/SKNet-PyTorch",
        "url": "https://github.com/developer0hye/SKNet-PyTorch"
      },
      {
        "title": "ywj95/Example-based-Bokeh-Effect-Challenge",
        "url": "https://github.com/ywj95/Example-based-Bokeh-Effect-Challenge"
      },
      {
        "title": "YeongHyeon/SKNet-TF2",
        "url": "https://github.com/YeongHyeon/SKNet-TF2"
      },
      {
        "title": "ChriXiang/Selective_Kernel_Keras",
        "url": "https://github.com/ChriXiang/Selective_Kernel_Keras"
      }
    ],
    "date": "2019-03-15",
    "date2": 20190315,
    "model": "SKNet-29 (ResNeXt-29, 16\u00d732d)",
    "paper": {
      "title": "Selective Kernel Networks",
      "url": "https://cknow.io/lib/412e941a9d24b36a"
    },
    "paper_data_uoa": "412e941a9d24b36a"
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    "Percentage correct": 96.4,
    "code_links": [
      {
        "title": "carpedm20/ENAS-pytorch",
        "url": "https://github.com/carpedm20/ENAS-pytorch"
      },
      {
        "title": "barisozmen/deepaugment",
        "url": "https://github.com/barisozmen/deepaugment"
      },
      {
        "title": "DataCanvasIO/Hypernets",
        "url": "https://github.com/DataCanvasIO/Hypernets"
      },
      {
        "title": "thtang/aMMAI2018-paper-summary",
        "url": "https://github.com/thtang/aMMAI2018-paper-summary"
      },
      {
        "title": "cshannonn/blackscholes_nas",
        "url": "https://github.com/cshannonn/blackscholes_nas"
      },
      {
        "title": "gordinmitya/mobile-dnn",
        "url": "https://github.com/gordinmitya/mobile-dnn"
      },
      {
        "title": "YaCpotato/B4ResearchDeepaugment",
        "url": "https://github.com/YaCpotato/B4ResearchDeepaugment"
      },
      {
        "title": "GiuliaLanzillotta/INAS",
        "url": "https://github.com/GiuliaLanzillotta/INAS"
      }
    ],
    "date": "2016-11-05",
    "date2": 20161105,
    "model": "Neural Architecture Search",
    "paper": {
      "title": "Neural Architecture Search with Reinforcement Learning",
      "url": "https://cknow.io/lib/d062b9b1564cdb84"
    },
    "paper_data_uoa": "d062b9b1564cdb84"
  },
  {
    "Percentage correct": 96.11,
    "Percentage error": 3.89,
    "code_links": [
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        "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"
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      {
        "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 correct": 95.6,
    "code_links": [
      {
        "title": "Vooban/Hyperopt-Keras-CNN-CIFAR-100",
        "url": "https://github.com/Vooban/Hyperopt-Keras-CNN-CIFAR-100"
      },
      {
        "title": "guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100",
        "url": "https://github.com/guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100"
      },
      {
        "title": "eclique/keras-gradcam",
        "url": "https://github.com/eclique/keras-gradcam"
      },
      {
        "title": "Shritesh99/100DaysofMLCodeChallenge",
        "url": "https://github.com/Shritesh99/100DaysofMLCodeChallenge"
      },
      {
        "title": "TooTouch/WhiteBox-Part1",
        "url": "https://github.com/TooTouch/WhiteBox-Part1"
      },
      {
        "title": "pikinder/nn-patterns",
        "url": "https://github.com/pikinder/nn-patterns"
      },
      {
        "title": "Paperspace/hyperopt-keras-sample",
        "url": "https://github.com/Paperspace/hyperopt-keras-sample"
      },
      {
        "title": "Kashi7/Object-Recognition",
        "url": "https://github.com/Kashi7/Object-Recognition"
      },
      {
        "title": "funalab/PredictMovingDirection",
        "url": "https://github.com/funalab/PredictMovingDirection"
      },
      {
        "title": "krish-thorcode/Object-Detection",
        "url": "https://github.com/krish-thorcode/Object-Detection"
      },
      {
        "title": "krish-thorcode/Object-Recognition",
        "url": "https://github.com/krish-thorcode/Object-Recognition"
      },
      {
        "title": "chrislauyc/Data-Science-Projects",
        "url": "https://github.com/chrislauyc/Data-Science-Projects"
      },
      {
        "title": "Shritesh99/Object_Detection_100DaysOfMLCode",
        "url": "https://github.com/Shritesh99/Object_Detection_100DaysOfMLCode"
      },
      {
        "title": "mayank-17/Project-Object-Recognition",
        "url": "https://github.com/mayank-17/Project-Object-Recognition"
      },
      {
        "title": "billyshin/CNN-Object-Recognition",
        "url": "https://github.com/billyshin/CNN-Object-Recognition"
      },
      {
        "title": "basile-bron/Artificial-Intelligence-Lexical",
        "url": "https://github.com/basile-bron/Artificial-Intelligence-Lexical"
      },
      {
        "title": "JonasWechsler/DeepLearningLab5",
        "url": "https://github.com/JonasWechsler/DeepLearningLab5"
      },
      {
        "title": "Aniket84/Object-Recognition-",
        "url": "https://github.com/Aniket84/Object-Recognition-"
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      {
        "title": "imavijit/detect_it",
        "url": "https://github.com/imavijit/detect_it"
      },
      {
        "title": "kunal-visoulia/Object-Recognition-Using-CNN",
        "url": "https://github.com/kunal-visoulia/Object-Recognition-Using-CNN"
      },
      {
        "title": "pricha0912/objectRecognition",
        "url": "https://github.com/pricha0912/objectRecognition"
      },
      {
        "title": "abhasahay/Object-Recognition-using-Deep-Learning",
        "url": "https://github.com/abhasahay/Object-Recognition-using-Deep-Learning"
      },
      {
        "title": "BasileBron/Artificial-Intelligence-Lexical",
        "url": "https://github.com/BasileBron/Artificial-Intelligence-Lexical"
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    "model": "ACN",
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    "Percentage error": 4.62,
    "code_links": [
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        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models/tree/master/research/slim"
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      {
        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models"
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      {
        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models/tree/master/research/resnet"
      },
      {
        "title": "tensorpack/tensorpack",
        "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/ResNet"
      },
      {
        "title": "osmr/imgclsmob",
        "url": "https://github.com/osmr/imgclsmob"
      },
      {
        "title": "raghakot/keras-resnet",
        "url": "https://github.com/raghakot/keras-resnet"
      },
      {
        "title": "wenxinxu/resnet-in-tensorflow",
        "url": "https://github.com/wenxinxu/resnet-in-tensorflow"
      },
      {
        "title": "KaimingHe/resnet-1k-layers",
        "url": "https://github.com/KaimingHe/resnet-1k-layers"
      },
      {
        "title": "alrojo/lasagne_residual_network",
        "url": "https://github.com/alrojo/lasagne_residual_network"
      },
      {
        "title": "junhocho/SRGAN",
        "url": "https://github.com/junhocho/SRGAN"
      },
      {
        "title": "edufonseca/icassp19",
        "url": "https://github.com/edufonseca/icassp19"
      },
      {
        "title": "huangleiBuaa/DecorrelatedBN",
        "url": "https://github.com/huangleiBuaa/DecorrelatedBN"
      },
      {
        "title": "umich-vl/DecorrelatedBN",
        "url": "https://github.com/umich-vl/DecorrelatedBN"
      },
      {
        "title": "poloclub/jpeg-defense",
        "url": "https://github.com/poloclub/jpeg-defense"
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      {
        "title": "P2333/Max-Mahalanobis-Training",
        "url": "https://github.com/P2333/Max-Mahalanobis-Training"
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      {
        "title": "P2333/Mixup-Inference",
        "url": "https://github.com/P2333/Mixup-Inference"
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      {
        "title": "marload/ConvNets-TensorFlow2",
        "url": "https://github.com/marload/ConvNets-TensorFlow2"
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      {
        "title": "bazilas/matconvnet-ResNet",
        "url": "https://github.com/bazilas/matconvnet-ResNet"
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        "title": "brain-bzh/MCNN",
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        "title": "farrell236/ResNetAE",
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        "title": "FranckZibi/SharpNet",
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      {
        "title": "Jeongyun-Lee-0423/Classification",
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        "title": "sitegui/ceci-nest-pas-un-chat",
        "url": "https://github.com/sitegui/ceci-nest-pas-un-chat"
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        "title": "horse007666/ResNet",
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      {
        "title": "HubertTW/1st-DL-CVMarathon",
        "url": "https://github.com/HubertTW/1st-DL-CVMarathon"
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        "url": "https://github.com/rickyHong/JPEG-Defense-repl"
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        "title": "kaseris/ILSVRCPlus",
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      "title": "Identity Mappings in Deep Residual Networks",
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    "Percentage correct": 95.05,
    "code_links": [
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        "title": "EvgenyKashin/SRMnet",
        "url": "https://github.com/EvgenyKashin/SRMnet"
      }
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      "url": "https://cknow.io/lib/77f4d944a74ba19a"
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    "Percentage correct": 95.05,
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        "title": "google-research/mixmatch",
        "url": "https://github.com/google-research/mixmatch"
      },
      {
        "title": "YU1ut/MixMatch-pytorch",
        "url": "https://github.com/YU1ut/MixMatch-pytorch"
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        "title": "gan3sh500/mixmatch-pytorch",
        "url": "https://github.com/gan3sh500/mixmatch-pytorch"
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        "title": "uizard-technologies/realmix",
        "url": "https://github.com/uizard-technologies/realmix"
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        "title": "perrying/realistic-ssl-evaluation-pytorch",
        "url": "https://github.com/perrying/realistic-ssl-evaluation-pytorch"
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      {
        "title": "FelixAbrahamsson/mixmatch-pytorch",
        "url": "https://github.com/FelixAbrahamsson/mixmatch-pytorch"
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      {
        "title": "noachr/MixMatch-fastai",
        "url": "https://github.com/noachr/MixMatch-fastai"
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        "title": "rit-git/Snippext_public",
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      {
        "title": "filaPro/visda2019",
        "url": "https://github.com/filaPro/visda2019"
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      {
        "title": "dLutscher/MixMatch-TransferLearning",
        "url": "https://github.com/dLutscher/MixMatch-TransferLearning"
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      {
        "title": "ntozer/mixmatch-tensorflow2.0",
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        "title": "viig99/mixmatch-freesound",
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        "title": "tinluu/Self-supervised-CV",
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        "title": "kevinghst/mixmatch",
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      "url": "https://cknow.io/lib/d873434095a07786"
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    "Percentage correct": 94.77,
    "Percentage error": 5.23,
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        "title": "rwightman/pytorch-image-models",
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        "title": "ry/tensorflow-resnet",
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        "title": "jiweeo/pytorch-stochastic-depth",
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        "title": "Stick-To/ResNet-TF",
        "url": "https://github.com/Stick-To/ResNet-TF"
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        "title": "Stick-To/resnet",
        "url": "https://github.com/Stick-To/resnet"
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    "Percentage correct": 94.4,
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      {
        "title": "ChihebTrabelsi/deep_complex_networks",
        "url": "https://github.com/ChihebTrabelsi/deep_complex_networks"
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        "title": "CeeZh/CNN-based-on-Complex-Number",
        "url": "https://github.com/CeeZh/CNN-based-on-Complex-Number"
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        "title": "Medabid1/ComplexValuedCNN",
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        "title": "omrijsharon/torchlex",
        "url": "https://github.com/omrijsharon/torchlex"
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        "title": "waleedt/DeepComplexNetwork",
        "url": "https://github.com/waleedt/DeepComplexNetwork"
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        "title": "digantamisra98/Mish",
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    "Percentage correct": 92.4,
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        "title": "yoonkim/lstm-char-cnn",
        "url": "https://github.com/yoonkim/lstm-char-cnn"
      },
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        "title": "LiyuanLucasLiu/LM-LSTM-CRF",
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      {
        "title": "flukeskywalker/highway-networks",
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    "Percentage correct": 91.4,
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        "title": "dipuk0506/SpinalNet",
        "url": "https://github.com/dipuk0506/SpinalNet"
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        "title": "philipperemy/tensorflow-maxout",
        "url": "https://github.com/philipperemy/tensorflow-maxout"
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        "title": "paniabhisek/maxout",
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        "title": "pmallari/Emotion_Recognition_PyTorch",
        "url": "https://github.com/pmallari/Emotion_Recognition_PyTorch"
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        "title": "minoring/nin-tf2",
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        "title": "pmallari/Emotion_Recognition",
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    "Percentage correct": 89.4,
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        "title": "naturomics/CapsNet-Tensorflow",
        "url": "https://github.com/naturomics/CapsNet-Tensorflow"
      },
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        "title": "XifengGuo/CapsNet-Keras",
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        "title": "gram-ai/capsule-networks",
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        "title": "lalonderodney/SegCaps",
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        "title": "www0wwwjs1/Matrix-Capsules-EM-Tensorflow",
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        "title": "anastasios-stamoulis/deep-learning-with-csharp-and-cntk",
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        "title": "laubonghaudoi/CapsNet_guide_PyTorch",
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        "title": "ameliajimenez/capsule-networks-medical-data-challenges",
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        "title": "Riroaki/CapsNet",
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      {
        "title": "southworkscom/CapsNet-CNTK",
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      {
        "title": "sharathsarangmath/Vector-Capsule-Network-for-wild-animal-species-recognition-in-Camera-trap-images",
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      {
        "title": "sharathsarangmath/Vector-Capsule-Network-for-wild-animal-species-recognition-in-Camera-trap-images.",
        "url": "https://github.com/sharathsarangmath/Vector-Capsule-Network-for-wild-animal-species-recognition-in-Camera-trap-images."
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      {
        "title": "jckuri/60daysofudacity",
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      {
        "title": "bhneo/Capsnet-Experiments",
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      },
      {
        "title": "Ugenteraan/CapsNet-MNIST-TF",
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      {
        "title": "JSerowik/Masters_Thesis",
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      },
      {
        "title": "Oushesh/CapsClassifigner",
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      {
        "title": "mshaikh2/GANs_Comparison",
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      },
      {
        "title": "shashankmanjunath/capsnet",
        "url": "https://github.com/shashankmanjunath/capsnet"
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        "title": "Ugenteraan/CapsNet-PyTorch",
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      {
        "title": "mochoabuilds/-cognition-",
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        "title": "prameth/CapsuleNets",
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      {
        "title": "arsenzaryan/CapsNet",
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        "title": "leekh7411/Capsule-Network-MNIST-Visualization",
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    "Percentage correct": 89,
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        "title": "dansuh17/alexnet-pytorch",
        "url": "https://github.com/dansuh17/alexnet-pytorch"
      },
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        "title": "demul/AlexNet",
        "url": "https://github.com/demul/AlexNet"
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      "url": "https://cknow.io/lib/0128653a45a2b8cd"
    },
    "paper_data_uoa": "0128653a45a2b8cd"
  },
  {
    "Percentage correct": 84.4,
    "code_links": [
      {
        "title": "dnouri/cuda-convnet",
        "url": "https://github.com/dnouri/cuda-convnet"
      },
      {
        "title": "mdenil/dropout",
        "url": "https://github.com/mdenil/dropout"
      },
      {
        "title": "DylanMuir/fmin_adam",
        "url": "https://github.com/DylanMuir/fmin_adam"
      },
      {
        "title": "w510056105/DeepLearning",
        "url": "https://github.com/w510056105/DeepLearning"
      },
      {
        "title": "poperson1205/knowledge_distillation",
        "url": "https://github.com/poperson1205/knowledge_distillation"
      },
      {
        "title": "xiangyu-liu/Computer-Network",
        "url": "https://github.com/xiangyu-liu/Computer-Network"
      }
    ],
    "date": "2012-07-03",
    "date2": 20120703,
    "model": "Improving neural networks by preventing co-adaptation of feature detectors",
    "paper": {
      "title": "Improving neural networks by preventing co-adaptation of feature detectors",
      "url": "https://cknow.io/lib/e8f0e8e3a5e44fe2"
    },
    "paper_data_uoa": "e8f0e8e3a5e44fe2"
  },
  {
    "Percentage correct": 82.8,
    "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 correct": 80.6,
    "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": "1 Layer K-means",
    "paper": {
      "title": "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks",
      "url": "https://cknow.io/lib/40f0064fe462db1a"
    },
    "paper_data_uoa": "40f0064fe462db1a"
  },
  {
    "Percentage correct": 78.7,
    "code_links": [
      {
        "title": "Ldpe2G/PCANet",
        "url": "https://github.com/Ldpe2G/PCANet"
      },
      {
        "title": "lucasleesw/PCANet_python_ver",
        "url": "https://github.com/lucasleesw/PCANet_python_ver"
      }
    ],
    "date": "2014-04-14",
    "date2": 20140414,
    "model": "PCANet",
    "paper": {
      "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?",
      "url": "https://cknow.io/lib/23a74402b0dfaab4"
    },
    "paper_data_uoa": "23a74402b0dfaab4"
  },
  {
    "Percentage correct": 60.6,
    "code_links": [
      {
        "title": "EmilienDupont/augmented-neural-odes",
        "url": "https://github.com/EmilienDupont/augmented-neural-odes"
      },
      {
        "title": "mitmath/18S096SciML",
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        "title": "locuslab/monotone_op_net",
        "url": "https://github.com/locuslab/monotone_op_net"
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        "title": "kfallah/NODE-Denoiser",
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        "title": "liuzhuang13/DenseNet",
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        "title": "osmr/imgclsmob",
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        "title": "bamos/densenet.pytorch",
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        "title": "flyyufelix/DenseNet-Keras",
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      {
        "title": "SimJeg/FC-DenseNet",
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      {
        "title": "shicai/DenseNet-Caffe",
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        "title": "wikke/Tianchi-Medical-LungTumorDetect",
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        "title": "liuzhuang13/DenseNetCaffe",
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        "title": "ikhlestov/vision_networks",
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        "title": "noahfl/densenet-sdr",
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        "title": "jbernoz/deeppolyp",
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        "title": "midusi/cacic2019-handshapes",
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        "title": "yichigo/Chest-X-Ray",
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        "title": "pmcgrath249/DeepCVLab",
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        "title": "pmcgrath249/DeepCV_Lab",
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      {
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        "title": "chvlyl/python_tips",
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        "title": "greatsharma/DeepLearning-Papers-Implementation",
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        "title": "rajkumargithub/densenet.mura",
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        "title": "FranckZibi/SharpNet",
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      {
        "title": "nashawnch/ComputerVision-FerrariDetective",
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      {
        "title": "VinayBN8997/CIFAR-10-object-detection",
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        "title": "agassi4013/Log-DenseNet-Tensorflow",
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        "title": "atapour/ransomware-classification",
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        "title": "minggli/DenseNet",
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        "title": "swxhss/densenet_tensorflow",
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      {
        "title": "muditrastogi/chestai",
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      {
        "title": "Elvictor01/Plant-Pathology-2020---FGVC7-Identify-the-category-of-foliar-diseases-in-apple-trees",
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      {
        "title": "nashawnch/Computer-Vision-FerrariDetective",
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      {
        "title": "idobronstein/vision_networks",
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      {
        "title": "Ciprian95/Licenta",
        "url": "https://github.com/Ciprian95/Licenta"
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      {
        "title": "lyw1538272605/AnotherTenseNet",
        "url": "https://github.com/lyw1538272605/AnotherTenseNet"
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      {
        "title": "modelhub-ai/densenet",
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      {
        "title": "yw0nam/DenseNet",
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      {
        "title": "arnavdodiedo/DenseNet-MNIST",
        "url": "https://github.com/arnavdodiedo/DenseNet-MNIST"
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      {
        "title": "zjZSTU/ResNet",
        "url": "https://github.com/zjZSTU/ResNet"
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      {
        "title": "syiin/ann_cancer_detection",
        "url": "https://github.com/syiin/ann_cancer_detection"
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      {
        "title": "RaghavHub/rekuten_hack",
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      {
        "title": "earthLD/Algorithm",
        "url": "https://github.com/earthLD/Algorithm"
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      {
        "title": "RajuGudhe/Cancer_Tissue_Detection",
        "url": "https://github.com/RajuGudhe/Cancer_Tissue_Detection"
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      {
        "title": "AirBernard/DenseNet-by-Pytorch",
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      {
        "title": "HLinShan/vision_networks",
        "url": "https://github.com/HLinShan/vision_networks"
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      {
        "title": "sparvangada/capstone_project",
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      {
        "title": "bhaskar-gaur/DenseNet-Keras",
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      {
        "title": "satishjasthi/Densenet_smplified",
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      {
        "title": "arnavdodiedo/DenseNet-Fashion-MNIST",
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        "title": "Anil1331/DenseNet",
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        "title": "grapestone5321/Stanford-CS230-Deep-Learning-Autumn-2018",
        "url": "https://github.com/grapestone5321/Stanford-CS230-Deep-Learning-Autumn-2018"
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      {
        "title": "syiin/resnet_cancer_detection",
        "url": "https://github.com/syiin/resnet_cancer_detection"
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      {
        "title": "fxfviolet/Densenet_for_quiz_classification",
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      {
        "title": "taylor-914/DenseNet",
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      {
        "title": "LJKS/noplants",
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      {
        "title": "ApexPredator1/DenseNet_tensorflow",
        "url": "https://github.com/ApexPredator1/DenseNet_tensorflow"
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        "title": "ByakuyaUncia/DenseNetUncia",
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      {
        "title": "cges60809/DenseNet",
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]