{
  "id": 188732,
  "title": "Request to winners to please share either PyTorch/Tensorflow Training+Inference Pipeline",
  "url": "/competitions/landmark-recognition-2020/discussion/188732",
  "author_name": "",
  "post_date": "2020-10-05T01:02:46.256116600Z",
  "votes": 2,
  "comment_count": 5,
  "views": 0,
  "content": "<p>Dear winners, </p>\n<p>Heartiest congratulations on doing so well in such a tough competition. If I could please ask - could you also please share code snippets or complete pipeline (perhaps a GitHub repo) along with your wonderful solutions? </p>\n<p>It would be of great help to someone like me who just wants to learn how ILR is done. </p>\n<p>Thanks :) </p>",
  "messages": [
    {
      "id": "1037393",
      "postDate": "10/05/2020 01:02:46",
      "content": "<p>Dear winners, </p>\n<p>Heartiest congratulations on doing so well in such a tough competition. If I could please ask - could you also please share code snippets or complete pipeline (perhaps a GitHub repo) along with your wonderful solutions? </p>\n<p>It would be of great help to someone like me who just wants to learn how ILR is done. </p>\n<p>Thanks :) </p>",
      "rawMarkdown": "Dear winners, \n\nHeartiest congratulations on doing so well in such a tough competition. If I could please ask - could you also please share code snippets or complete pipeline (perhaps a GitHub repo) along with your wonderful solutions? \n\nIt would be of great help to someone like me who just wants to learn how ILR is done. \n\nThanks :)",
      "votes": null
    },
    {
      "id": "1038790",
      "postDate": "10/06/2020 04:06:33",
      "content": "<p><a href=\"https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place\" target=\"_blank\">https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place</a></p>",
      "rawMarkdown": "https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place",
      "votes": null
    },
    {
      "id": "1038816",
      "postDate": "10/06/2020 05:05:07",
      "content": "<p>Will post it there in couple of days</p>",
      "rawMarkdown": "Will post it there in couple of days",
      "votes": null
    },
    {
      "id": "1039021",
      "postDate": "10/06/2020 08:56:33",
      "content": "<p>Thank you <a href=\"https://www.kaggle.com/christofhenkel\" target=\"_blank\">@christofhenkel</a> and <a href=\"https://www.kaggle.com/philippsinger\" target=\"_blank\">@philippsinger</a> </p>\n<p>Eagerly waiting for it :) </p>",
      "rawMarkdown": "Thank you @christofhenkel and @philippsinger \n\nEagerly waiting for it :)",
      "votes": null
    },
    {
      "id": "1041174",
      "postDate": "10/07/2020 15:35:39",
      "content": "<p>Code is there :)</p>",
      "rawMarkdown": "Code is there :)",
      "votes": null
    },
    {
      "id": "1041578",
      "postDate": "10/07/2020 20:29:14",
      "content": "<p>Thank you! Happy days! ^.^ </p>",
      "rawMarkdown": "Thank you! Happy days! ^.^",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1038790,
      "author_name": "christofhenkel",
      "author_url": "",
      "post_date": "10/06/2020 04:06:33",
      "content": "<p><a href=\"https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place\" target=\"_blank\">https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1038816,
          "author_name": "philippsinger",
          "author_url": "",
          "post_date": "10/06/2020 05:05:07",
          "content": "<p>Will post it there in couple of days</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1039021,
          "author_name": "aroraaman",
          "author_url": "",
          "post_date": "10/06/2020 08:56:33",
          "content": "<p>Thank you <a href=\"https://www.kaggle.com/christofhenkel\" target=\"_blank\">@christofhenkel</a> and <a href=\"https://www.kaggle.com/philippsinger\" target=\"_blank\">@philippsinger</a> </p>\n<p>Eagerly waiting for it :) </p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1041174,
          "author_name": "philippsinger",
          "author_url": "",
          "post_date": "10/07/2020 15:35:39",
          "content": "<p>Code is there :)</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1041578,
          "author_name": "aroraaman",
          "author_url": "",
          "post_date": "10/07/2020 20:29:14",
          "content": "<p>Thank you! Happy days! ^.^ </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1037393": "Dear winners, \n\nHeartiest congratulations on doing so well in such a tough competition. If I could please ask - could you also please share code snippets or complete pipeline (perhaps a GitHub repo) along with your wonderful solutions? \n\nIt would be of great help to someone like me who just wants to learn how ILR is done. \n\nThanks :)",
    "1038790": "https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place",
    "1038816": "Will post it there in couple of days",
    "1039021": "Thank you @christofhenkel and @philippsinger \n\nEagerly waiting for it :)",
    "1041174": "Code is there :)",
    "1041578": "Thank you! Happy days! ^.^"
  },
  "source": "meta"
}