[
  {
    "Accuracy": 96,
    "code_links": [
      {
        "title": "mrT23/TResNet",
        "url": "https://github.com/mrT23/TResNet"
      }
    ],
    "date": "2020-03-30",
    "date2": 20200330,
    "model": "TResNet-L",
    "paper": {
      "title": "TResNet: High Performance GPU-Dedicated Architecture",
      "url": "https://cknow.io/lib/8818afd8439421cb"
    },
    "paper_data_uoa": "8818afd8439421cb"
  },
  {
    "Accuracy": 94.7,
    "code_links": [
      {
        "title": "lukemelas/EfficientNet-PyTorch",
        "url": "https://github.com/lukemelas/EfficientNet-PyTorch"
      },
      {
        "title": "tensorflow/tpu",
        "url": "https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet"
      },
      {
        "title": "rwightman/pytorch-image-models",
        "url": "https://github.com/rwightman/pytorch-image-models"
      },
      {
        "title": "osmr/imgclsmob",
        "url": "https://github.com/osmr/imgclsmob"
      },
      {
        "title": "qubvel/efficientnet",
        "url": "https://github.com/qubvel/efficientnet"
      },
      {
        "title": "facebookresearch/pycls",
        "url": "https://github.com/facebookresearch/pycls"
      },
      {
        "title": "rwightman/gen-efficientnet-pytorch",
        "url": "https://github.com/rwightman/gen-efficientnet-pytorch"
      },
      {
        "title": "zsef123/EfficientNets-PyTorch",
        "url": "https://github.com/zsef123/EfficientNets-PyTorch"
      },
      {
        "title": "titu1994/keras-efficientnets",
        "url": "https://github.com/titu1994/keras-efficientnets"
      },
      {
        "title": "WongKinYiu/PartialResidualNetworks",
        "url": "https://github.com/WongKinYiu/PartialResidualNetworks"
      },
      {
        "title": "mingxingtan/efficientnet",
        "url": "https://github.com/mingxingtan/efficientnet"
      },
      {
        "title": "HymEric/Segmentation-Series-Chaos",
        "url": "https://github.com/HymEric/Segmentation-Series-Chaos"
      },
      {
        "title": "narumiruna/efficientnet-pytorch",
        "url": "https://github.com/narumiruna/efficientnet-pytorch"
      },
      {
        "title": "morganmcg1/stanford-cars",
        "url": "https://github.com/morganmcg1/stanford-cars"
      },
      {
        "title": "mnikitin/EfficientNet",
        "url": "https://github.com/mnikitin/EfficientNet"
      },
      {
        "title": "filaPro/visda2019",
        "url": "https://github.com/filaPro/visda2019"
      },
      {
        "title": "DableUTeeF/keras-efficientnet",
        "url": "https://github.com/DableUTeeF/keras-efficientnet"
      },
      {
        "title": "tsing-cv/EfficientNet-tensorflow-eager",
        "url": "https://github.com/tsing-cv/EfficientNet-tensorflow-eager"
      },
      {
        "title": "ZackPashkin/YOLOv3-EfficientNet-EffYolo",
        "url": "https://github.com/ZackPashkin/YOLOv3-EfficientNet-EffYolo"
      },
      {
        "title": "rajneeshaggarwal/google-efficientnet",
        "url": "https://github.com/rajneeshaggarwal/google-efficientnet"
      },
      {
        "title": "rohitgr7/tvmodels",
        "url": "https://github.com/rohitgr7/tvmodels"
      },
      {
        "title": "hsandmann/espm.ml.2019.1",
        "url": "https://github.com/hsandmann/espm.ml.2019.1"
      },
      {
        "title": "pikkaay/efficientnet_gpu",
        "url": "https://github.com/pikkaay/efficientnet_gpu"
      },
      {
        "title": "jqueguiner/EfficientNet-api",
        "url": "https://github.com/jqueguiner/EfficientNet-api"
      },
      {
        "title": "miramind/efficientnets_pytorch",
        "url": "https://github.com/miramind/efficientnets_pytorch"
      },
      {
        "title": "BenjiKCF/EfficientNet",
        "url": "https://github.com/BenjiKCF/EfficientNet"
      },
      {
        "title": "northeastsquare/effficientnet",
        "url": "https://github.com/northeastsquare/effficientnet"
      },
      {
        "title": "nimiew/Grab-Computer-Vision",
        "url": "https://github.com/nimiew/Grab-Computer-Vision"
      },
      {
        "title": "PotatoSpudowski/CactiNet",
        "url": "https://github.com/PotatoSpudowski/CactiNet"
      },
      {
        "title": "gordinmitya/mobile-dnn",
        "url": "https://github.com/gordinmitya/mobile-dnn"
      },
      {
        "title": "SunDoge/efficientnet-pytorch",
        "url": "https://github.com/SunDoge/efficientnet-pytorch"
      },
      {
        "title": "anordio/img-classifier-ships",
        "url": "https://github.com/anordio/img-classifier-ships"
      },
      {
        "title": "cgebbe/kaggle_pku-autonomous-driving",
        "url": "https://github.com/cgebbe/kaggle_pku-autonomous-driving"
      },
      {
        "title": "bluein/BCCD-Project",
        "url": "https://github.com/bluein/BCCD-Project"
      },
      {
        "title": "pantheon5100/DLlearn",
        "url": "https://github.com/pantheon5100/DLlearn"
      },
      {
        "title": "hsandmann/espm.ml",
        "url": "https://github.com/hsandmann/espm.ml"
      },
      {
        "title": "HO4X/TSR_JetsonTX2",
        "url": "https://github.com/HO4X/TSR_JetsonTX2"
      },
      {
        "title": "machinelearning-goettingen/EfficientNet-ModelScaling",
        "url": "https://github.com/machinelearning-goettingen/EfficientNet-ModelScaling"
      },
      {
        "title": "mminamina/EfficientNet_Testing_Framework",
        "url": "https://github.com/mminamina/EfficientNet_Testing_Framework"
      },
      {
        "title": "buiquangmanhhp1999/age_gender_estimation",
        "url": "https://github.com/buiquangmanhhp1999/age_gender_estimation"
      }
    ],
    "date": "2019-05-28",
    "date2": 20190528,
    "model": "EfficientNet",
    "paper": {
      "title": "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks",
      "url": "https://cknow.io/lib/e16f44ab8219d51f"
    },
    "paper_data_uoa": "e16f44ab8219d51f"
  }
]