{
  "id": 203256,
  "title": "Can anyone share notebook which use bi tempered loss with pytorch? .",
  "url": "/competitions/cassava-leaf-disease-classification/discussion/203256",
  "author_name": "",
  "post_date": "2020-12-14T12:56:22.544777Z",
  "votes": 12,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Thanks in advance</p>",
  "messages": [
    {
      "id": "1112280",
      "postDate": "12/14/2020 12:56:22",
      "content": "<p>Thanks in advance</p>",
      "rawMarkdown": "Thanks in advance",
      "votes": null
    },
    {
      "id": "1117752",
      "postDate": "12/18/2020 11:44:40",
      "content": "<p><a href=\"https://github.com/mlpanda/bi-tempered-loss-pytorch\" target=\"_blank\">https://github.com/mlpanda/bi-tempered-loss-pytorch</a><br>\nrefer to this repo; its implemented in pytorch</p>",
      "rawMarkdown": "https://github.com/mlpanda/bi-tempered-loss-pytorch\nrefer to this repo; its implemented in pytorch",
      "votes": null
    },
    {
      "id": "1117765",
      "postDate": "12/18/2020 12:09:43",
      "content": "<p>Thank you so much.</p>",
      "rawMarkdown": "Thank you so much.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1117752,
      "author_name": "mrinath",
      "author_url": "",
      "post_date": "12/18/2020 11:44:40",
      "content": "<p><a href=\"https://github.com/mlpanda/bi-tempered-loss-pytorch\" target=\"_blank\">https://github.com/mlpanda/bi-tempered-loss-pytorch</a><br>\nrefer to this repo; its implemented in pytorch</p>",
      "votes": null,
      "replies": [
        {
          "id": 1117765,
          "author_name": "aifahim",
          "author_url": "",
          "post_date": "12/18/2020 12:09:43",
          "content": "<p>Thank you so much.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1112280": "Thanks in advance",
    "1117752": "https://github.com/mlpanda/bi-tempered-loss-pytorch\nrefer to this repo; its implemented in pytorch",
    "1117765": "Thank you so much."
  },
  "source": "meta"
}