{
  "id": 149176,
  "title": "Plethora of pytorch pretrained models",
  "url": "/competitions/global-wheat-detection/discussion/149176",
  "author_name": "",
  "post_date": "2020-05-07T06:45:35.873490700Z",
  "votes": 4,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Today I found this link while searching for efficientnet noisy student pretrained models, since official weights have not been released, as far as I know.</p>\n\n<p><a href=\"https://github.com/rwightman/pytorch-image-models\">https://github.com/rwightman/pytorch-image-models</a></p>\n\n<p>It not only have efficientnet noisy student pretrained models but also plethora of other models. Its a must watch repository for pytorch users, in addition to following repositories that I use:\n<a href=\"https://pytorch.org/docs/stable/torchvision/models.html\">https://pytorch.org/docs/stable/torchvision/models.html</a>\n<a href=\"https://github.com/Cadene/pretrained-models.pytorch\">https://github.com/Cadene/pretrained-models.pytorch</a>\n<a href=\"https://github.com/qubvel/segmentation_models.pytorch\">https://github.com/qubvel/segmentation_models.pytorch</a>\n<a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">https://github.com/lukemelas/EfficientNet-PyTorch</a></p>",
  "messages": [
    {
      "id": "836687",
      "postDate": "05/07/2020 06:45:35",
      "content": "<p>Today I found this link while searching for efficientnet noisy student pretrained models, since official weights have not been released, as far as I know.</p>\n\n<p><a href=\"https://github.com/rwightman/pytorch-image-models\">https://github.com/rwightman/pytorch-image-models</a></p>\n\n<p>It not only have efficientnet noisy student pretrained models but also plethora of other models. Its a must watch repository for pytorch users, in addition to following repositories that I use:\n<a href=\"https://pytorch.org/docs/stable/torchvision/models.html\">https://pytorch.org/docs/stable/torchvision/models.html</a>\n<a href=\"https://github.com/Cadene/pretrained-models.pytorch\">https://github.com/Cadene/pretrained-models.pytorch</a>\n<a href=\"https://github.com/qubvel/segmentation_models.pytorch\">https://github.com/qubvel/segmentation_models.pytorch</a>\n<a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">https://github.com/lukemelas/EfficientNet-PyTorch</a></p>",
      "rawMarkdown": "Today I found this link while searching for efficientnet noisy student pretrained models, since official weights have not been released, as far as I know.\n\nhttps://github.com/rwightman/pytorch-image-models\n\nIt not only have efficientnet noisy student pretrained models but also plethora of other models. Its a must watch repository for pytorch users, in addition to following repositories that I use:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/qubvel/segmentation_models.pytorch\nhttps://github.com/lukemelas/EfficientNet-PyTorch",
      "votes": null
    },
    {
      "id": "836689",
      "postDate": "05/07/2020 06:46:17",
      "content": "<p>Thanks so much :)</p>",
      "rawMarkdown": "Thanks so much :)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 836689,
      "author_name": "albeffe",
      "author_url": "",
      "post_date": "05/07/2020 06:46:17",
      "content": "<p>Thanks so much :)</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "836687": "Today I found this link while searching for efficientnet noisy student pretrained models, since official weights have not been released, as far as I know.\n\nhttps://github.com/rwightman/pytorch-image-models\n\nIt not only have efficientnet noisy student pretrained models but also plethora of other models. Its a must watch repository for pytorch users, in addition to following repositories that I use:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/qubvel/segmentation_models.pytorch\nhttps://github.com/lukemelas/EfficientNet-PyTorch",
    "836689": "Thanks so much :)"
  },
  "source": "meta"
}