{
  "id": 223223,
  "title": "💥💥Github Resources + Pre-Trained Models for Deep Learning + Chemical Structures 🔥🔥",
  "url": "/competitions/bms-molecular-translation/discussion/223223",
  "author_name": "",
  "post_date": "2021-03-03T01:38:08.655066Z",
  "votes": 59,
  "comment_count": 7,
  "views": 0,
  "content": "<p>This thread contains an extensive collection of Github resources , Pre-trained model in the intersection of Deep Learning and chemistry which is worth having a look before you proceed in the competition . I will be constantly updating the thread as and when I come across interesting code repositories</p>\n<p><strong>OpenChem</strong></p>\n<p><a href=\"https://modelzoo.co/model/openchem\" target=\"_blank\">https://modelzoo.co/model/openchem</a></p>\n<p><strong>Deep Learning for Chemical Image Recognition (DECIMER)</strong></p>\n<p><a href=\"https://github.com/Kohulan/Decimer-Python\" target=\"_blank\">https://github.com/Kohulan/Decimer-Python</a></p>\n<p><strong>ElemNet</strong></p>\n<p><a href=\"https://github.com/NU-CUCIS/ElemNet\" target=\"_blank\">https://github.com/NU-CUCIS/ElemNet</a></p>\n<p><strong>CheMixNet</strong></p>\n<p><a href=\"https://github.com/NU-CUCIS/CheMixNet\" target=\"_blank\">https://github.com/NU-CUCIS/CheMixNet</a></p>\n<p>Hope you found this useful . If you come across any interesting code repositories , do mention in the comments and I will update the thread .</p>\n<p>Good Luck with the competition </p>",
  "messages": [
    {
      "id": "1224694",
      "postDate": "03/03/2021 01:38:08",
      "content": "<p>This thread contains an extensive collection of Github resources , Pre-trained model in the intersection of Deep Learning and chemistry which is worth having a look before you proceed in the competition . I will be constantly updating the thread as and when I come across interesting code repositories</p>\n<p><strong>OpenChem</strong></p>\n<p><a href=\"https://modelzoo.co/model/openchem\" target=\"_blank\">https://modelzoo.co/model/openchem</a></p>\n<p><strong>Deep Learning for Chemical Image Recognition (DECIMER)</strong></p>\n<p><a href=\"https://github.com/Kohulan/Decimer-Python\" target=\"_blank\">https://github.com/Kohulan/Decimer-Python</a></p>\n<p><strong>ElemNet</strong></p>\n<p><a href=\"https://github.com/NU-CUCIS/ElemNet\" target=\"_blank\">https://github.com/NU-CUCIS/ElemNet</a></p>\n<p><strong>CheMixNet</strong></p>\n<p><a href=\"https://github.com/NU-CUCIS/CheMixNet\" target=\"_blank\">https://github.com/NU-CUCIS/CheMixNet</a></p>\n<p>Hope you found this useful . If you come across any interesting code repositories , do mention in the comments and I will update the thread .</p>\n<p>Good Luck with the competition </p>",
      "rawMarkdown": "This thread contains an extensive collection of Github resources , Pre-trained model in the intersection of Deep Learning and chemistry which is worth having a look before you proceed in the competition . I will be constantly updating the thread as and when I come across interesting code repositories\n\n**OpenChem**\n\nhttps://modelzoo.co/model/openchem\n\n**Deep Learning for Chemical Image Recognition (DECIMER)**\n\nhttps://github.com/Kohulan/Decimer-Python\n\n**ElemNet**\n\nhttps://github.com/NU-CUCIS/ElemNet\n\n**CheMixNet**\n\nhttps://github.com/NU-CUCIS/CheMixNet\n\nHope you found this useful . If you come across any interesting code repositories , do mention in the comments and I will update the thread .\n\nGood Luck with the competition",
      "votes": null
    },
    {
      "id": "1225343",
      "postDate": "03/03/2021 14:57:59",
      "content": "<p>Awesome compilation <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a> <br>\nThanks a lot. Very helpful. 😊</p>",
      "rawMarkdown": "Awesome compilation @usharengaraju \nThanks a lot. Very helpful. 😊",
      "votes": null
    },
    {
      "id": "1226465",
      "postDate": "03/04/2021 14:55:18",
      "content": "<p>This is awesome to get starting. </p>",
      "rawMarkdown": "This is awesome to get starting.",
      "votes": null
    },
    {
      "id": "1226561",
      "postDate": "03/04/2021 16:51:49",
      "content": "<p>DECIMER seems to be newer in this repository.<br>\n<a href=\"https://github.com/Kohulan/DECIMER-Image-to-SMILES\" target=\"_blank\">https://github.com/Kohulan/DECIMER-Image-to-SMILES</a></p>",
      "rawMarkdown": "DECIMER seems to be newer in this repository.\nhttps://github.com/Kohulan/DECIMER-Image-to-SMILES",
      "votes": null
    },
    {
      "id": "1227907",
      "postDate": "03/05/2021 23:35:50",
      "content": "<p>For SMILES specifically, there's the Molecular Transformer paper: <a href=\"https://arxiv.org/pdf/1811.02633.pdf\" target=\"_blank\">https://arxiv.org/pdf/1811.02633.pdf</a></p>",
      "rawMarkdown": "For SMILES specifically, there's the Molecular Transformer paper: https://arxiv.org/pdf/1811.02633.pdf",
      "votes": null
    },
    {
      "id": "1228757",
      "postDate": "03/06/2021 18:23:30",
      "content": "<p>Great post!</p>",
      "rawMarkdown": "Great post!",
      "votes": null
    },
    {
      "id": "1266004",
      "postDate": "04/07/2021 12:03:54",
      "content": "<p>Thanks for these awesome resources:) <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a> </p>",
      "rawMarkdown": "Thanks for these awesome resources:) @usharengaraju",
      "votes": null
    },
    {
      "id": "1279479",
      "postDate": "04/21/2021 00:32:12",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1225343,
      "author_name": "manabendrarout",
      "author_url": "",
      "post_date": "03/03/2021 14:57:59",
      "content": "<p>Awesome compilation <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a> <br>\nThanks a lot. Very helpful. 😊</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1226465,
      "author_name": "mnavaidd",
      "author_url": "",
      "post_date": "03/04/2021 14:55:18",
      "content": "<p>This is awesome to get starting. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1226561,
      "author_name": "mimacumo",
      "author_url": "",
      "post_date": "03/04/2021 16:51:49",
      "content": "<p>DECIMER seems to be newer in this repository.<br>\n<a href=\"https://github.com/Kohulan/DECIMER-Image-to-SMILES\" target=\"_blank\">https://github.com/Kohulan/DECIMER-Image-to-SMILES</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1227907,
      "author_name": "xhlulu",
      "author_url": "",
      "post_date": "03/05/2021 23:35:50",
      "content": "<p>For SMILES specifically, there's the Molecular Transformer paper: <a href=\"https://arxiv.org/pdf/1811.02633.pdf\" target=\"_blank\">https://arxiv.org/pdf/1811.02633.pdf</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1228757,
      "author_name": "abhinavpadmawar20",
      "author_url": "",
      "post_date": "03/06/2021 18:23:30",
      "content": "<p>Great post!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1266004,
      "author_name": "berkayalan",
      "author_url": "",
      "post_date": "04/07/2021 12:03:54",
      "content": "<p>Thanks for these awesome resources:) <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a> </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1279479,
      "author_name": "feililan",
      "author_url": "",
      "post_date": "04/21/2021 00:32:12",
      "content": "<p>Thanks for sharing!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1224694": "This thread contains an extensive collection of Github resources , Pre-trained model in the intersection of Deep Learning and chemistry which is worth having a look before you proceed in the competition . I will be constantly updating the thread as and when I come across interesting code repositories\n\n**OpenChem**\n\nhttps://modelzoo.co/model/openchem\n\n**Deep Learning for Chemical Image Recognition (DECIMER)**\n\nhttps://github.com/Kohulan/Decimer-Python\n\n**ElemNet**\n\nhttps://github.com/NU-CUCIS/ElemNet\n\n**CheMixNet**\n\nhttps://github.com/NU-CUCIS/CheMixNet\n\nHope you found this useful . If you come across any interesting code repositories , do mention in the comments and I will update the thread .\n\nGood Luck with the competition",
    "1225343": "Awesome compilation @usharengaraju \nThanks a lot. Very helpful. 😊",
    "1226465": "This is awesome to get starting.",
    "1226561": "DECIMER seems to be newer in this repository.\nhttps://github.com/Kohulan/DECIMER-Image-to-SMILES",
    "1227907": "For SMILES specifically, there's the Molecular Transformer paper: https://arxiv.org/pdf/1811.02633.pdf",
    "1228757": "Great post!",
    "1266004": "Thanks for these awesome resources:) @usharengaraju",
    "1279479": "Thanks for sharing!"
  },
  "source": "meta"
}