[
  {
    "Accuracy": 95.4,
    "code_links": [
      {
        "title": "Socialbird-AILab/BERT-Classification-Tutorial",
        "url": "https://github.com/Socialbird-AILab/BERT-Classification-Tutorial"
      },
      {
        "title": "cstorm125/thai2fit",
        "url": "https://github.com/cstorm125/thai2fit"
      },
      {
        "title": "prajjwal1/language-modelling",
        "url": "https://github.com/prajjwal1/language-modelling"
      },
      {
        "title": "hpanwar08/sentence-classification-pytorch",
        "url": "https://github.com/hpanwar08/sentence-classification-pytorch"
      },
      {
        "title": "mamamot/Russian-ULMFit",
        "url": "https://github.com/mamamot/Russian-ULMFit"
      },
      {
        "title": "mollerhoj/Scandinavian-ULMFiT",
        "url": "https://github.com/mollerhoj/Scandinavian-ULMFiT"
      },
      {
        "title": "mollerhoj/Danish-ULMFiT",
        "url": "https://github.com/mollerhoj/Danish-ULMFiT"
      },
      {
        "title": "khumbuai/keras_wiki_lm",
        "url": "https://github.com/khumbuai/keras_wiki_lm"
      },
      {
        "title": "alexandra-chron/ntua-slp-wassa-iest2018",
        "url": "https://github.com/alexandra-chron/ntua-slp-wassa-iest2018"
      },
      {
        "title": "alexandra-chron/wassa-2018",
        "url": "https://github.com/alexandra-chron/wassa-2018"
      },
      {
        "title": "jannenev/ulmfit-language-model",
        "url": "https://github.com/jannenev/ulmfit-language-model"
      },
      {
        "title": "PrideLee/sentiment-analysis",
        "url": "https://github.com/PrideLee/sentiment-analysis"
      },
      {
        "title": "AnttiKarlsson/finnish_ulmfit",
        "url": "https://github.com/AnttiKarlsson/finnish_ulmfit"
      },
      {
        "title": "SkullFang/ULMFIT_NLP_Classification",
        "url": "https://github.com/SkullFang/ULMFIT_NLP_Classification"
      },
      {
        "title": "radoslawkrolikowski/sentiment-analysis-pytorch",
        "url": "https://github.com/radoslawkrolikowski/sentiment-analysis-pytorch"
      },
      {
        "title": "MJahangeerQureshi/Text-Classification",
        "url": "https://github.com/MJahangeerQureshi/Text-Classification"
      },
      {
        "title": "nextbigwhat-ai/sentiment-analysis-pytorch",
        "url": "https://github.com/nextbigwhat-ai/sentiment-analysis-pytorch"
      },
      {
        "title": "rajs96/ULMFiT-Twitter-US-Airline-Sentiment",
        "url": "https://github.com/rajs96/ULMFiT-Twitter-US-Airline-Sentiment"
      },
      {
        "title": "TheShadow29/subreddit-classification-dataset",
        "url": "https://github.com/TheShadow29/subreddit-classification-dataset"
      },
      {
        "title": "simecek/Czech-ULMFiT",
        "url": "https://github.com/simecek/Czech-ULMFiT"
      },
      {
        "title": "amagooda/SummaRuNNer_coattention",
        "url": "https://github.com/amagooda/SummaRuNNer_coattention"
      },
      {
        "title": "tanmaylaud/Patient_Conversation_Classifier_FastAI",
        "url": "https://github.com/tanmaylaud/Patient_Conversation_Classifier_FastAI"
      },
      {
        "title": "rania000/SentAnalyser",
        "url": "https://github.com/rania000/SentAnalyser"
      },
      {
        "title": "dpalominop/ULMFit",
        "url": "https://github.com/dpalominop/ULMFit"
      },
      {
        "title": "neburseni/NLP",
        "url": "https://github.com/neburseni/NLP"
      },
      {
        "title": "anubhavmaity/Ag-News-Category-Classifier",
        "url": "https://github.com/anubhavmaity/Ag-News-Category-Classifier"
      },
      {
        "title": "lukexyz/Language-Models",
        "url": "https://github.com/lukexyz/Language-Models"
      },
      {
        "title": "Deepayan137/Adapting-OCR",
        "url": "https://github.com/Deepayan137/Adapting-OCR"
      },
      {
        "title": "algoashutosh/sentiment-analysis-project",
        "url": "https://github.com/algoashutosh/sentiment-analysis-project"
      },
      {
        "title": "LamLauChiu/Tensorflow_Learning",
        "url": "https://github.com/LamLauChiu/Tensorflow_Learning"
      },
      {
        "title": "dhruvsawhney/CS152_FinalProject",
        "url": "https://github.com/dhruvsawhney/CS152_FinalProject"
      },
      {
        "title": "heye0507/individualNLPClassifier",
        "url": "https://github.com/heye0507/individualNLPClassifier"
      },
      {
        "title": "comicencyclo/TransferLearning_DiscriminativeFineTuning",
        "url": "https://github.com/comicencyclo/TransferLearning_DiscriminativeFineTuning"
      },
      {
        "title": "ahmadelsallab/READ",
        "url": "https://github.com/ahmadelsallab/READ"
      },
      {
        "title": "magic-lantern/nlp-transfer-learning",
        "url": "https://github.com/magic-lantern/nlp-transfer-learning"
      },
      {
        "title": "muellerzr/CodeFest_2019",
        "url": "https://github.com/muellerzr/CodeFest_2019"
      },
      {
        "title": "floraxinru/NLP_HotelReviews",
        "url": "https://github.com/floraxinru/NLP_HotelReviews"
      },
      {
        "title": "castortroynz/desafio_atuacao19",
        "url": "https://github.com/castortroynz/desafio_atuacao19"
      },
      {
        "title": "haianhle/ULMFiT-Sentiment",
        "url": "https://github.com/haianhle/ULMFiT-Sentiment"
      },
      {
        "title": "uchange/ulangel",
        "url": "https://github.com/uchange/ulangel"
      },
      {
        "title": "bhuvanakundumani/sexist_rmks_classifier",
        "url": "https://github.com/bhuvanakundumani/sexist_rmks_classifier"
      },
      {
        "title": "floraxinru/HotelReviews_SentimentAnalysis",
        "url": "https://github.com/floraxinru/HotelReviews_SentimentAnalysis"
      },
      {
        "title": "AbhimanyuAryan/IMDB-NLP",
        "url": "https://github.com/AbhimanyuAryan/IMDB-NLP"
      }
    ],
    "date": "2018-01-18",
    "date2": 20180118,
    "model": "ULMFiT",
    "paper": {
      "title": "Universal Language Model Fine-tuning for Text Classification",
      "url": "https://cknow.io/lib/6c9c6f24a4983be7"
    },
    "paper_data_uoa": "6c9c6f24a4983be7"
  },
  {
    "Accuracy": 92.82,
    "code_links": [
      {
        "title": "huggingface/transformers",
        "url": "https://github.com/huggingface/transformers"
      },
      {
        "title": "huggingface/swift-coreml-transformers",
        "url": "https://github.com/huggingface/swift-coreml-transformers"
      },
      {
        "title": "huggingface/tflite-android-transformers",
        "url": "https://github.com/huggingface/tflite-android-transformers"
      },
      {
        "title": "stefan-it/turkish-bert",
        "url": "https://github.com/stefan-it/turkish-bert"
      },
      {
        "title": "suinleelab/path_explain",
        "url": "https://github.com/suinleelab/path_explain"
      },
      {
        "title": "epfml/collaborative-attention",
        "url": "https://github.com/epfml/collaborative-attention"
      },
      {
        "title": "dbmdz/german-bert",
        "url": "https://github.com/dbmdz/german-bert"
      },
      {
        "title": "dbmdz/berts",
        "url": "https://github.com/dbmdz/berts"
      },
      {
        "title": "allenai/scifact",
        "url": "https://github.com/allenai/scifact"
      },
      {
        "title": "mkavim/finetune_bert",
        "url": "https://github.com/mkavim/finetune_bert"
      }
    ],
    "date": "2019-10-02",
    "date2": 20191002,
    "model": "DistilBERT",
    "paper": {
      "title": "DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter",
      "url": "https://cknow.io/lib/04d86c49859dc446"
    },
    "paper_data_uoa": "04d86c49859dc446"
  }
]