{
  "id": 347834,
  "title": "giving away my source code",
  "url": "/competitions/open-problems-multimodal/discussion/347834",
  "author_name": "",
  "post_date": "2022-08-25T15:08:37.095483400Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi Everyone,</p>\n<p>I build a sort of basic pytorch ligthning example using MLPs for the cite and multiome datasets<br>\nit scored 0.819 for me and might be a nice starting point so you don't have to start from scratch.</p>\n<p>here is the link:<br>\n<a href=\"https://github.com/splatai/kaggle-giveaway.git\" target=\"_blank\">https://github.com/splatai/kaggle-giveaway.git</a></p>\n<p>hope it helps :)</p>",
  "messages": [
    {
      "id": "1913898",
      "postDate": "08/25/2022 15:08:37",
      "content": "<p>Hi Everyone,</p>\n<p>I build a sort of basic pytorch ligthning example using MLPs for the cite and multiome datasets<br>\nit scored 0.819 for me and might be a nice starting point so you don't have to start from scratch.</p>\n<p>here is the link:<br>\n<a href=\"https://github.com/splatai/kaggle-giveaway.git\" target=\"_blank\">https://github.com/splatai/kaggle-giveaway.git</a></p>\n<p>hope it helps :)</p>",
      "rawMarkdown": "Hi Everyone,\n\nI build a sort of basic pytorch ligthning example using MLPs for the cite and multiome datasets\nit scored 0.819 for me and might be a nice starting point so you don't have to start from scratch.\n\nhere is the link:\nhttps://github.com/splatai/kaggle-giveaway.git\n\nhope it helps :)",
      "votes": null
    },
    {
      "id": "1914009",
      "postDate": "08/25/2022 16:41:03",
      "content": "<p>Thanks a lot ! But, sorry why not to put it on kaggle ? </p>",
      "rawMarkdown": "Thanks a lot ! But, sorry why not to put it on kaggle ?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1914009,
      "author_name": "alexandervc",
      "author_url": "",
      "post_date": "08/25/2022 16:41:03",
      "content": "<p>Thanks a lot ! But, sorry why not to put it on kaggle ? </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1913898": "Hi Everyone,\n\nI build a sort of basic pytorch ligthning example using MLPs for the cite and multiome datasets\nit scored 0.819 for me and might be a nice starting point so you don't have to start from scratch.\n\nhere is the link:\nhttps://github.com/splatai/kaggle-giveaway.git\n\nhope it helps :)",
    "1914009": "Thanks a lot ! But, sorry why not to put it on kaggle ?"
  },
  "source": "meta"
}