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    "Accuracy": 99.3,
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        "title": "xu-ji/IIC",
        "url": "https://github.com/xu-ji/IIC"
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        "title": "astirn/IIC",
        "url": "https://github.com/astirn/IIC"
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        "title": "nathanin/IIC",
        "url": "https://github.com/nathanin/IIC"
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      {
        "title": "jizongFox/DeepClusteringProject",
        "url": "https://github.com/jizongFox/DeepClusteringProject"
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        "title": "tohinz/Bidirectional-InfoGAN",
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    "Accuracy": 95.9,
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        "title": "eriklindernoren/Keras-GAN",
        "url": "https://github.com/eriklindernoren/Keras-GAN"
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      {
        "title": "eriklindernoren/PyTorch-GAN",
        "url": "https://github.com/eriklindernoren/PyTorch-GAN"
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      {
        "title": "santi-pdp/pase",
        "url": "https://github.com/santi-pdp/pase"
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      {
        "title": "hwalsuklee/tensorflow-mnist-AAE",
        "url": "https://github.com/hwalsuklee/tensorflow-mnist-AAE"
      },
      {
        "title": "greentfrapp/keras-aae",
        "url": "https://github.com/greentfrapp/keras-aae"
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      {
        "title": "MINGUKKANG/Adversarial-AutoEncoder",
        "url": "https://github.com/MINGUKKANG/Adversarial-AutoEncoder"
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      {
        "title": "Andrea-V/MusAE",
        "url": "https://github.com/Andrea-V/MusAE"
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      {
        "title": "gopala-kr/autoencoders",
        "url": "https://github.com/gopala-kr/autoencoders"
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      {
        "title": "greentfrapp/adversarialautoencoder",
        "url": "https://github.com/greentfrapp/adversarialautoencoder"
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      {
        "title": "Gauravshahare/ADVERSIAL_AUTOENCODER",
        "url": "https://github.com/Gauravshahare/ADVERSIAL_AUTOENCODER"
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      {
        "title": "sidhanthholalkere/CS2FinalProject",
        "url": "https://github.com/sidhanthholalkere/CS2FinalProject"
      },
      {
        "title": "qq456cvb/AAE",
        "url": "https://github.com/qq456cvb/AAE"
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      {
        "title": "vitskvara/GenModels.jl",
        "url": "https://github.com/vitskvara/GenModels.jl"
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      {
        "title": "vitskvara/GenerativeModels.jl",
        "url": "https://github.com/vitskvara/GenerativeModels.jl"
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      {
        "title": "yoon-th/Indoor_Localization_Wifi_Fingerprinting",
        "url": "https://github.com/yoon-th/Indoor_Localization_Wifi_Fingerprinting"
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      "title": "Adversarial Autoencoders",
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        "title": "ZhimingZhou/AM-GAN",
        "url": "https://github.com/ZhimingZhou/AM-GAN"
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      "title": "Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks",
      "url": "https://cknow.io/lib/9e8baaef344241bc"
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    "Accuracy": 95,
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        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models/tree/master/research/gan"
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      {
        "title": "eriklindernoren/Keras-GAN",
        "url": "https://github.com/eriklindernoren/Keras-GAN"
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      {
        "title": "eriklindernoren/PyTorch-GAN",
        "url": "https://github.com/eriklindernoren/PyTorch-GAN"
      },
      {
        "title": "tensorpack/tensorpack",
        "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/GAN"
      },
      {
        "title": "openai/InfoGAN",
        "url": "https://github.com/openai/InfoGAN"
      },
      {
        "title": "buriburisuri/timeseries_gan",
        "url": "https://github.com/buriburisuri/timeseries_gan"
      },
      {
        "title": "jonasz/progressive_infogan",
        "url": "https://github.com/jonasz/progressive_infogan"
      },
      {
        "title": "Natsu6767/InfoGAN-PyTorch",
        "url": "https://github.com/Natsu6767/InfoGAN-PyTorch"
      },
      {
        "title": "amiryanj/socialways",
        "url": "https://github.com/amiryanj/socialways"
      },
      {
        "title": "jeanjerome/semisupervised_timeseries_infogan",
        "url": "https://github.com/jeanjerome/semisupervised_timeseries_infogan"
      },
      {
        "title": "forrestbing/multimodel-poetry-generation",
        "url": "https://github.com/forrestbing/multimodel-poetry-generation"
      },
      {
        "title": "forrestbing/chinese-poetry-generation",
        "url": "https://github.com/forrestbing/chinese-poetry-generation"
      },
      {
        "title": "conan7882/tf-gans",
        "url": "https://github.com/conan7882/tf-gans"
      },
      {
        "title": "sidneyp/bidirectional",
        "url": "https://github.com/sidneyp/bidirectional"
      },
      {
        "title": "SeonbeomKim/TensorFlow-InfoGAN",
        "url": "https://github.com/SeonbeomKim/TensorFlow-InfoGAN"
      },
      {
        "title": "LJSthu/info-GAN",
        "url": "https://github.com/LJSthu/info-GAN"
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      {
        "title": "VitoRazor/Gan_Architecture",
        "url": "https://github.com/VitoRazor/Gan_Architecture"
      },
      {
        "title": "JunsikChoi/Pytorch-InfoGAN-CR",
        "url": "https://github.com/JunsikChoi/Pytorch-InfoGAN-CR"
      },
      {
        "title": "gtegner/mine-pytorch",
        "url": "https://github.com/gtegner/mine-pytorch"
      },
      {
        "title": "Doyosae/CNN_Models",
        "url": "https://github.com/Doyosae/CNN_Models"
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      {
        "title": "SAGNIKMJR/MetaQNN_ImageGenerationGAN_DiscriminatorFixed_PyTorch",
        "url": "https://github.com/SAGNIKMJR/MetaQNN_ImageGenerationGAN_DiscriminatorFixed_PyTorch"
      },
      {
        "title": "landeros10/infoganJL",
        "url": "https://github.com/landeros10/infoganJL"
      },
      {
        "title": "Murali81/InfoGAN",
        "url": "https://github.com/Murali81/InfoGAN"
      },
      {
        "title": "KarolyPoka/ULTRON",
        "url": "https://github.com/KarolyPoka/ULTRON"
      },
      {
        "title": "chenyuqi990215/infogan",
        "url": "https://github.com/chenyuqi990215/infogan"
      },
      {
        "title": "yukia18/pytorch",
        "url": "https://github.com/yukia18/pytorch"
      },
      {
        "title": "JunsikChoi/Pytorch-InfoGAN",
        "url": "https://github.com/JunsikChoi/Pytorch-InfoGAN"
      },
      {
        "title": "TimoKuenstle/timeseries",
        "url": "https://github.com/TimoKuenstle/timeseries"
      }
    ],
    "date": "2016-06-12",
    "date2": 20160612,
    "model": "InfoGAN",
    "paper": {
      "title": "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets",
      "url": "https://cknow.io/lib/cddb8fbe49c190f4"
    },
    "paper_data_uoa": "cddb8fbe49c190f4"
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    "Accuracy": 94.73,
    "code_links": [],
    "date": "2017-06-02",
    "date2": 20170602,
    "model": "PixelGAN Autoencoders",
    "paper": {
      "title": "PixelGAN Autoencoders",
      "url": "https://cknow.io/lib/f71a76b704b2464f"
    },
    "paper_data_uoa": "f71a76b704b2464f"
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