{
  "id": 152800,
  "title": "External Data Thread",
  "url": "/competitions/imet-2020-fgvc7/discussion/152800",
  "author_name": "",
  "post_date": "2020-05-21T14:02:20.064629700Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Per the competition rules, post links to your external data sources here before the deadline specified. Once it has been posted, you do not need to post it again.</p>",
  "messages": [
    {
      "id": "856134",
      "postDate": "05/21/2020 14:02:20",
      "content": "<p>Per the competition rules, post links to your external data sources here before the deadline specified. Once it has been posted, you do not need to post it again.</p>",
      "rawMarkdown": "Per the competition rules, post links to your external data sources here before the deadline specified. Once it has been posted, you do not need to post it again.",
      "votes": null
    },
    {
      "id": "856178",
      "postDate": "05/21/2020 14:51:21",
      "content": "<p><a href=\"https://github.com/Cadene/pretrained-models.pytorch\">https://github.com/Cadene/pretrained-models.pytorch</a>\n<a href=\"https://github.com/rwightman/pytorch-image-models\">https://github.com/rwightman/pytorch-image-models</a>\n<a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">https://github.com/lukemelas/EfficientNet-PyTorch</a></p>",
      "rawMarkdown": "https://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/rwightman/pytorch-image-models\nhttps://github.com/lukemelas/EfficientNet-PyTorch",
      "votes": null
    },
    {
      "id": "858345",
      "postDate": "05/23/2020 11:43:44",
      "content": "<p><a href=\"https://www.kaggle.com/mika30/efficientnet-weights-for-keras\">https://www.kaggle.com/mika30/efficientnet-weights-for-keras</a>\n<a href=\"https://www.kaggle.com/xhlulu/efficientnet-keras-source-code\">https://www.kaggle.com/xhlulu/efficientnet-keras-source-code</a>\n<a href=\"https://www.kaggle.com/ronyroy/imet-2020-tfrecords\">https://www.kaggle.com/ronyroy/imet-2020-tfrecords</a>\n<a href=\"https://www.kaggle.com/ronyroy/imet2020tfrecords-part2\">https://www.kaggle.com/ronyroy/imet2020tfrecords-part2</a>\n<a href=\"https://www.kaggle.com/ronyroy/imet2020tfrecords-part3\">https://www.kaggle.com/ronyroy/imet2020tfrecords-part3</a>\n<a href=\"https://www.kaggle.com/ronyroy/imet2020tfrecords-part4\">https://www.kaggle.com/ronyroy/imet2020tfrecords-part4</a>\n<a href=\"https://www.kaggle.com/ipythonx/efficientnet-keras-noisystudent-weights-b0b7\">https://www.kaggle.com/ipythonx/efficientnet-keras-noisystudent-weights-b0b7</a></p>",
      "rawMarkdown": "https://www.kaggle.com/mika30/efficientnet-weights-for-keras\nhttps://www.kaggle.com/xhlulu/efficientnet-keras-source-code\nhttps://www.kaggle.com/ronyroy/imet-2020-tfrecords\nhttps://www.kaggle.com/ronyroy/imet2020tfrecords-part2\nhttps://www.kaggle.com/ronyroy/imet2020tfrecords-part3\nhttps://www.kaggle.com/ronyroy/imet2020tfrecords-part4\nhttps://www.kaggle.com/ipythonx/efficientnet-keras-noisystudent-weights-b0b7",
      "votes": null
    },
    {
      "id": "864145",
      "postDate": "05/27/2020 20:35:31",
      "content": "<p><a href=\"https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\">https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5</a>\n<a href=\"https://www.kaggle.com/ragerage/imetexp1pbweights\">https://www.kaggle.com/ragerage/imetexp1pbweights</a>\n<a href=\"https://www.kaggle.com/ragerage/tf-1140\">https://www.kaggle.com/ragerage/tf-1140</a>\n<a href=\"https://github.com/workingforfood/imet_2020_train\">https://github.com/workingforfood/imet_2020_train</a></p>",
      "rawMarkdown": "https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\nhttps://www.kaggle.com/ragerage/imetexp1pbweights\nhttps://www.kaggle.com/ragerage/tf-1140\nhttps://github.com/workingforfood/imet_2020_train",
      "votes": null
    },
    {
      "id": "865004",
      "postDate": "05/28/2020 10:26:14",
      "content": "<p><a href=\"https://github.com/rohitgr7/tvmodels\">https://github.com/rohitgr7/tvmodels</a>\n<a href=\"https://github.com/zhanghang1989/ResNeSt\">https://github.com/zhanghang1989/ResNeSt</a></p>",
      "rawMarkdown": "https://github.com/rohitgr7/tvmodels\nhttps://github.com/zhanghang1989/ResNeSt",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 856178,
      "author_name": "takuok",
      "author_url": "",
      "post_date": "05/21/2020 14:51:21",
      "content": "<p><a href=\"https://github.com/Cadene/pretrained-models.pytorch\">https://github.com/Cadene/pretrained-models.pytorch</a>\n<a href=\"https://github.com/rwightman/pytorch-image-models\">https://github.com/rwightman/pytorch-image-models</a>\n<a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">https://github.com/lukemelas/EfficientNet-PyTorch</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 858345,
      "author_name": "solyjames",
      "author_url": "",
      "post_date": "05/23/2020 11:43:44",
      "content": "<p><a href=\"https://www.kaggle.com/mika30/efficientnet-weights-for-keras\">https://www.kaggle.com/mika30/efficientnet-weights-for-keras</a>\n<a href=\"https://www.kaggle.com/xhlulu/efficientnet-keras-source-code\">https://www.kaggle.com/xhlulu/efficientnet-keras-source-code</a>\n<a href=\"https://www.kaggle.com/ronyroy/imet-2020-tfrecords\">https://www.kaggle.com/ronyroy/imet-2020-tfrecords</a>\n<a href=\"https://www.kaggle.com/ronyroy/imet2020tfrecords-part2\">https://www.kaggle.com/ronyroy/imet2020tfrecords-part2</a>\n<a href=\"https://www.kaggle.com/ronyroy/imet2020tfrecords-part3\">https://www.kaggle.com/ronyroy/imet2020tfrecords-part3</a>\n<a href=\"https://www.kaggle.com/ronyroy/imet2020tfrecords-part4\">https://www.kaggle.com/ronyroy/imet2020tfrecords-part4</a>\n<a href=\"https://www.kaggle.com/ipythonx/efficientnet-keras-noisystudent-weights-b0b7\">https://www.kaggle.com/ipythonx/efficientnet-keras-noisystudent-weights-b0b7</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 864145,
      "author_name": "ragerage",
      "author_url": "",
      "post_date": "05/27/2020 20:35:31",
      "content": "<p><a href=\"https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\">https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5</a>\n<a href=\"https://www.kaggle.com/ragerage/imetexp1pbweights\">https://www.kaggle.com/ragerage/imetexp1pbweights</a>\n<a href=\"https://www.kaggle.com/ragerage/tf-1140\">https://www.kaggle.com/ragerage/tf-1140</a>\n<a href=\"https://github.com/workingforfood/imet_2020_train\">https://github.com/workingforfood/imet_2020_train</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 865004,
      "author_name": "zxzhao001",
      "author_url": "",
      "post_date": "05/28/2020 10:26:14",
      "content": "<p><a href=\"https://github.com/rohitgr7/tvmodels\">https://github.com/rohitgr7/tvmodels</a>\n<a href=\"https://github.com/zhanghang1989/ResNeSt\">https://github.com/zhanghang1989/ResNeSt</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "856134": "Per the competition rules, post links to your external data sources here before the deadline specified. Once it has been posted, you do not need to post it again.",
    "856178": "https://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/rwightman/pytorch-image-models\nhttps://github.com/lukemelas/EfficientNet-PyTorch",
    "858345": "https://www.kaggle.com/mika30/efficientnet-weights-for-keras\nhttps://www.kaggle.com/xhlulu/efficientnet-keras-source-code\nhttps://www.kaggle.com/ronyroy/imet-2020-tfrecords\nhttps://www.kaggle.com/ronyroy/imet2020tfrecords-part2\nhttps://www.kaggle.com/ronyroy/imet2020tfrecords-part3\nhttps://www.kaggle.com/ronyroy/imet2020tfrecords-part4\nhttps://www.kaggle.com/ipythonx/efficientnet-keras-noisystudent-weights-b0b7",
    "864145": "https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\nhttps://www.kaggle.com/ragerage/imetexp1pbweights\nhttps://www.kaggle.com/ragerage/tf-1140\nhttps://github.com/workingforfood/imet_2020_train",
    "865004": "https://github.com/rohitgr7/tvmodels\nhttps://github.com/zhanghang1989/ResNeSt"
  },
  "source": "meta"
}