{
  "id": 108845,
  "title": "#2 Solution: Source code",
  "url": "/competitions/champs-scalar-coupling/discussion/108845",
  "author_name": "Andrés Miguel Torrubia Sáez",
  "post_date": "2019-09-14T08:33:22.824000",
  "votes": 43,
  "comment_count": 13,
  "views": 0,
  "content": "<p>Here it is:</p>\n\n<p><a href=\"https://github.com/antorsae/champs-scalar-coupling\">https://github.com/antorsae/champs-scalar-coupling</a></p>\n\n<p>We'll be adding readme + instructions shortly... but you can start peeking into it if you like ;-)</p>",
  "messages": [
    {
      "id": 626374,
      "postDate": "2019-09-14T08:33:22.823Z",
      "content": "<p>Here it is:</p>\n\n<p><a href=\"https://github.com/antorsae/champs-scalar-coupling\">https://github.com/antorsae/champs-scalar-coupling</a></p>\n\n<p>We'll be adding readme + instructions shortly... but you can start peeking into it if you like ;-)</p>",
      "rawMarkdown": "Here it is:\n\nhttps://github.com/antorsae/champs-scalar-coupling\n\nWe'll be adding readme + instructions shortly... but you can start peeking into it if you like ;-)\n",
      "votes": 43
    },
    {
      "id": 632620,
      "postDate": "2019-09-23T20:01:37.213Z",
      "content": "<p>When adding a readme file, could you also publish the requirements.txt of your environment? So it would be easier to reproduce. </p>",
      "rawMarkdown": "When adding a readme file, could you also publish the requirements.txt of your environment? So it would be easier to reproduce. ",
      "votes": 1
    },
    {
      "id": 631430,
      "postDate": "2019-09-22T02:15:22.873Z",
      "content": "<p>Thank you so much for sharing. Can I ask where to find the <code>train.npz</code> used in the notebook and how is it generated?</p>",
      "rawMarkdown": "Thank you so much for sharing. Can I ask where to find the `train.npz` used in the notebook and how is it generated?",
      "votes": 1,
      "replies": [
        {
          "id": 632839,
          "postDate": "2019-09-24T06:08:01.303Z",
          "content": "<p>It's generated the first time you run the experiment notebooks. It takes a lot of time though, just b/c it's a 1-time thing and not optimized at all!</p>",
          "rawMarkdown": "It's generated the first time you run the experiment notebooks. It takes a lot of time though, just b/c it's a 1-time thing and not optimized at all!",
          "votes": 1
        }
      ]
    },
    {
      "id": 630180,
      "postDate": "2019-09-19T21:00:19.807Z",
      "content": "<p>I really appreciate your sharing. As you said in one interview: “Deep learning is the single reason AI is in the news today”. I think that the willingness to share ideas is a catalyst for the progress of deep learning along with computation power and availability of data. </p>",
      "rawMarkdown": "I really appreciate your sharing. As you said in one interview: “Deep learning is the single reason AI is in the news today”. I think that the willingness to share ideas is a catalyst for the progress of deep learning along with computation power and availability of data. ",
      "votes": 1
    },
    {
      "id": 628224,
      "postDate": "2019-09-17T01:09:38.213Z",
      "content": "<p>Thank you for sharing. Have been waiting for it :D</p>",
      "rawMarkdown": "Thank you for sharing. Have been waiting for it :D",
      "votes": 1
    },
    {
      "id": 626945,
      "postDate": "2019-09-15T06:32:03.057Z",
      "content": "<p>Congrats...</p>\n\n<p>Thank you for Sharing....!!! <a href=\"/antorsae\">@antorsae</a> </p>",
      "rawMarkdown": "Congrats...\n\nThank you for Sharing....!!! @antorsae ",
      "votes": 1
    },
    {
      "id": 626724,
      "postDate": "2019-09-14T18:27:23.930Z",
      "content": "<p>very useful</p>",
      "rawMarkdown": "very useful",
      "votes": 1
    },
    {
      "id": 651961,
      "postDate": "2019-10-18T06:36:22.550Z",
      "content": "<p>amazing how this post is not the most popular in the discussion. I can onlt contribute with a +1, but thanks a lot! I was trying the opposite approach, to kind of use as much science as I could afford..but eneded up not doing a single submission</p>",
      "rawMarkdown": "amazing how this post is not the most popular in the discussion. I can onlt contribute with a +1, but thanks a lot! I was trying the opposite approach, to kind of use as much science as I could afford..but eneded up not doing a single submission"
    },
    {
      "id": 663717,
      "postDate": "2019-11-02T15:26:01.857Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 627827,
      "postDate": "2019-09-16T12:42:07.597Z",
      "content": "<p>I'm waiting eagerly! Thank you!</p>",
      "rawMarkdown": "I'm waiting eagerly! Thank you!",
      "votes": 1
    },
    {
      "id": 626843,
      "postDate": "2019-09-15T01:34:41.157Z",
      "content": "<p>Thanks!!!</p>",
      "rawMarkdown": "Thanks!!!",
      "votes": 1
    },
    {
      "id": 626515,
      "postDate": "2019-09-14T12:57:04.553Z",
      "content": "<p>Thanks, very useful !!</p>",
      "rawMarkdown": "Thanks, very useful !!",
      "votes": 1
    },
    {
      "id": 662721,
      "postDate": "2019-10-31T22:50:50.967Z",
      "content": "<p>Thanks for sharing the code!</p>",
      "rawMarkdown": "Thanks for sharing the code!"
    }
  ],
  "comments": [
    {
      "id": 632620,
      "author_name": "XiaokangWang",
      "author_url": "",
      "post_date": "2019-09-23T20:01:37.213000",
      "content": "<p>When adding a readme file, could you also publish the requirements.txt of your environment? So it would be easier to reproduce. </p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 631430,
      "author_name": "Jiwei Liu",
      "author_url": "",
      "post_date": "2019-09-22T02:15:22.873000",
      "content": "<p>Thank you so much for sharing. Can I ask where to find the <code>train.npz</code> used in the notebook and how is it generated?</p>",
      "votes": 1,
      "replies": [
        {
          "id": 632839,
          "author_name": "Andrés Miguel Torrubia Sáez",
          "author_url": "",
          "post_date": "2019-09-24T06:08:01.303000",
          "content": "<p>It's generated the first time you run the experiment notebooks. It takes a lot of time though, just b/c it's a 1-time thing and not optimized at all!</p>",
          "votes": 1,
          "replies": []
        }
      ]
    },
    {
      "id": 630180,
      "author_name": "XiaokangWang",
      "author_url": "",
      "post_date": "2019-09-19T21:00:19.807000",
      "content": "<p>I really appreciate your sharing. As you said in one interview: “Deep learning is the single reason AI is in the news today”. I think that the willingness to share ideas is a catalyst for the progress of deep learning along with computation power and availability of data. </p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 628224,
      "author_name": "Zhenlan",
      "author_url": "",
      "post_date": "2019-09-17T01:09:38.213000",
      "content": "<p>Thank you for sharing. Have been waiting for it :D</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 626945,
      "author_name": "Ailurophile",
      "author_url": "",
      "post_date": "2019-09-15T06:32:03.057000",
      "content": "<p>Congrats...</p>\n\n<p>Thank you for Sharing....!!! <a href=\"/antorsae\">@antorsae</a> </p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 626724,
      "author_name": "Bibhas Mondal",
      "author_url": "",
      "post_date": "2019-09-14T18:27:23.930000",
      "content": "<p>very useful</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 651961,
      "author_name": "andrea cazzaniga",
      "author_url": "",
      "post_date": "2019-10-18T06:36:22.550000",
      "content": "<p>amazing how this post is not the most popular in the discussion. I can onlt contribute with a +1, but thanks a lot! I was trying the opposite approach, to kind of use as much science as I could afford..but eneded up not doing a single submission</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 663717,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-11-02T15:26:01.857000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 627827,
      "author_name": "Toru Hasegawa",
      "author_url": "",
      "post_date": "2019-09-16T12:42:07.597000",
      "content": "<p>I'm waiting eagerly! Thank you!</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 626843,
      "author_name": "Vítor Gama Lemos",
      "author_url": "",
      "post_date": "2019-09-15T01:34:41.157000",
      "content": "<p>Thanks!!!</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 626515,
      "author_name": "Lorenzo De Tomasi",
      "author_url": "",
      "post_date": "2019-09-14T12:57:04.553000",
      "content": "<p>Thanks, very useful !!</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 662721,
      "author_name": "corochann",
      "author_url": "",
      "post_date": "2019-10-31T22:50:50.967000",
      "content": "<p>Thanks for sharing the code!</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "626374": "Here it is:\n\nhttps://github.com/antorsae/champs-scalar-coupling\n\nWe'll be adding readme + instructions shortly... but you can start peeking into it if you like ;-)\n",
    "632620": "When adding a readme file, could you also publish the requirements.txt of your environment? So it would be easier to reproduce. ",
    "631430": "Thank you so much for sharing. Can I ask where to find the `train.npz` used in the notebook and how is it generated?",
    "630180": "I really appreciate your sharing. As you said in one interview: “Deep learning is the single reason AI is in the news today”. I think that the willingness to share ideas is a catalyst for the progress of deep learning along with computation power and availability of data. ",
    "628224": "Thank you for sharing. Have been waiting for it :D",
    "626945": "Congrats...\n\nThank you for Sharing....!!! @antorsae ",
    "626724": "very useful",
    "651961": "amazing how this post is not the most popular in the discussion. I can onlt contribute with a +1, but thanks a lot! I was trying the opposite approach, to kind of use as much science as I could afford..but eneded up not doing a single submission",
    "663717": "",
    "627827": "I'm waiting eagerly! Thank you!",
    "626843": "Thanks!!!",
    "626515": "Thanks, very useful !!",
    "662721": "Thanks for sharing the code!"
  }
}