{
  "id": 191626,
  "title": "Does a GrowNet could be useful in this competition? ",
  "url": "/competitions/riiid-test-answer-prediction/discussion/191626",
  "author_name": "",
  "post_date": "2020-10-17T15:43:22.939276400Z",
  "votes": 8,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Could be a good approach using a Grownet for this competition? I would like to premise that I just recently discover the Grownet models and I was thinking that maybe appliyng one of them on this dataset could be a great way to study them. So, does it make sense? And yes, does tensorflow support them  ?</p>",
  "messages": [
    {
      "id": "1052319",
      "postDate": "10/17/2020 15:43:22",
      "content": "<p>Could be a good approach using a Grownet for this competition? I would like to premise that I just recently discover the Grownet models and I was thinking that maybe appliyng one of them on this dataset could be a great way to study them. So, does it make sense? And yes, does tensorflow support them  ?</p>",
      "rawMarkdown": "Could be a good approach using a Grownet for this competition? I would like to premise that I just recently discover the Grownet models and I was thinking that maybe appliyng one of them on this dataset could be a great way to study them. So, does it make sense? And yes, does tensorflow support them  ?",
      "votes": null
    },
    {
      "id": "1052708",
      "postDate": "10/18/2020 07:04:42",
      "content": "<p>Could you put a link on this \"GrowNet\"</p>",
      "rawMarkdown": "Could you put a link on this \"GrowNet\"",
      "votes": null
    },
    {
      "id": "1052764",
      "postDate": "10/18/2020 08:21:39",
      "content": "<p>These are <strong>deep</strong> variations of Tabular data algorithms (instead of common LGBM/XGB approaches):</p>\n<ul>\n<li>Neural networks / DNN - link for <a href=\"https://www.kaggle.com/ulrich07/riiid-keras-starter\" target=\"_blank\">Keras DNN kernel source</a> and link for <a href=\"https://www.kaggle.com/maunish/riiid-super-cool-eda-and-pytorch-baseline\" target=\"_blank\">PyTorch DNN kernel source</a></li>\n<li><a href=\"https://arxiv.org/pdf/1908.07442.pdf\" target=\"_blank\">TabNet</a> - link for <a href=\"https://www.kaggle.com/alexj21/riiid-tabnet-starter-kernel\" target=\"_blank\">Tabnet kernel source example</a></li>\n<li><a href=\"https://arxiv.org/pdf/2002.07971.pdf\" target=\"_blank\">GrowNet</a> - link for <a href=\"https://github.com/sbadirli/GrowNet\" target=\"_blank\">gitHub</a></li>\n</ul>",
      "rawMarkdown": "These are **deep** variations of Tabular data algorithms (instead of common LGBM/XGB approaches):\n- Neural networks / DNN - link for [Keras DNN kernel source](https://www.kaggle.com/ulrich07/riiid-keras-starter) and link for [PyTorch DNN kernel source](https://www.kaggle.com/maunish/riiid-super-cool-eda-and-pytorch-baseline)\n- [TabNet](https://arxiv.org/pdf/1908.07442.pdf) - link for [Tabnet kernel source example](https://www.kaggle.com/alexj21/riiid-tabnet-starter-kernel)\n- [GrowNet](https://arxiv.org/pdf/2002.07971.pdf) - link for [gitHub](https://github.com/sbadirli/GrowNet)",
      "votes": null
    },
    {
      "id": "1053059",
      "postDate": "10/18/2020 14:52:33",
      "content": "<p>of course :)<br>\n<a href=\"https://arxiv.org/abs/2002.07971\" target=\"_blank\">https://arxiv.org/abs/2002.07971</a><br>\n<a href=\"https://github.com/sbadirli/GrowNet\" target=\"_blank\">https://github.com/sbadirli/GrowNet</a></p>",
      "rawMarkdown": "of course :)\nhttps://arxiv.org/abs/2002.07971\nhttps://github.com/sbadirli/GrowNet",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1052708,
      "author_name": "msharuk589",
      "author_url": "",
      "post_date": "10/18/2020 07:04:42",
      "content": "<p>Could you put a link on this \"GrowNet\"</p>",
      "votes": null,
      "replies": [
        {
          "id": 1053059,
          "author_name": "domizianostingi",
          "author_url": "",
          "post_date": "10/18/2020 14:52:33",
          "content": "<p>of course :)<br>\n<a href=\"https://arxiv.org/abs/2002.07971\" target=\"_blank\">https://arxiv.org/abs/2002.07971</a><br>\n<a href=\"https://github.com/sbadirli/GrowNet\" target=\"_blank\">https://github.com/sbadirli/GrowNet</a></p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1052764,
      "author_name": "sirishks",
      "author_url": "",
      "post_date": "10/18/2020 08:21:39",
      "content": "<p>These are <strong>deep</strong> variations of Tabular data algorithms (instead of common LGBM/XGB approaches):</p>\n<ul>\n<li>Neural networks / DNN - link for <a href=\"https://www.kaggle.com/ulrich07/riiid-keras-starter\" target=\"_blank\">Keras DNN kernel source</a> and link for <a href=\"https://www.kaggle.com/maunish/riiid-super-cool-eda-and-pytorch-baseline\" target=\"_blank\">PyTorch DNN kernel source</a></li>\n<li><a href=\"https://arxiv.org/pdf/1908.07442.pdf\" target=\"_blank\">TabNet</a> - link for <a href=\"https://www.kaggle.com/alexj21/riiid-tabnet-starter-kernel\" target=\"_blank\">Tabnet kernel source example</a></li>\n<li><a href=\"https://arxiv.org/pdf/2002.07971.pdf\" target=\"_blank\">GrowNet</a> - link for <a href=\"https://github.com/sbadirli/GrowNet\" target=\"_blank\">gitHub</a></li>\n</ul>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1052319": "Could be a good approach using a Grownet for this competition? I would like to premise that I just recently discover the Grownet models and I was thinking that maybe appliyng one of them on this dataset could be a great way to study them. So, does it make sense? And yes, does tensorflow support them  ?",
    "1052708": "Could you put a link on this \"GrowNet\"",
    "1052764": "These are **deep** variations of Tabular data algorithms (instead of common LGBM/XGB approaches):\n- Neural networks / DNN - link for [Keras DNN kernel source](https://www.kaggle.com/ulrich07/riiid-keras-starter) and link for [PyTorch DNN kernel source](https://www.kaggle.com/maunish/riiid-super-cool-eda-and-pytorch-baseline)\n- [TabNet](https://arxiv.org/pdf/1908.07442.pdf) - link for [Tabnet kernel source example](https://www.kaggle.com/alexj21/riiid-tabnet-starter-kernel)\n- [GrowNet](https://arxiv.org/pdf/2002.07971.pdf) - link for [gitHub](https://github.com/sbadirli/GrowNet)",
    "1053059": "of course :)\nhttps://arxiv.org/abs/2002.07971\nhttps://github.com/sbadirli/GrowNet"
  },
  "source": "meta"
}