{
  "id": 106305,
  "title": "🏅Gold Medal Solutions 🏅",
  "url": "/competitions/generative-dog-images/discussion/106305",
  "author_name": "",
  "post_date": "2019-08-29T03:03:04.524882400Z",
  "votes": 31,
  "comment_count": 7,
  "views": 0,
  "content": "<p>List of all gold medal solutions shared:</p>\n\n<p><a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/106324\">1st place solution</a> by <a href=\"https://www.kaggle.com/tikutiku\">Tom</a>\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/104211\">2nd place solution</a> by <a href=\"https://www.kaggle.com/yukia18\">yabea</a> (<a href=\"https://www.kaggle.com/yukia18/sub-rals-ac-biggan-with-minibatchstddev\">Notebook</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/106514\">3rd place solution</a> by <a href=\"https://www.kaggle.com/lisali\">lli</a> (<a href=\"https://www.kaggle.com/lisali/sagan-submit-2?scriptVersionId=18714508\">Notebook</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/104281\">4th place solution</a> by <a href=\"https://www.kaggle.com/bestfitting\">bestfitting</a> (<a href=\"https://www.kaggle.com/bestfitting/i96-1e-4-6e-4-bs32-195\">Notebook 1</a>, <a href=\"https://www.kaggle.com/bestfitting/i96-crop-mode3-dstep1-1e-4-6e-4-bs32\">Notebook 2</a>, <a href=\"https://github.com/bestfitting/kaggle/tree/master/gandogs\">GitHub</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/104287\">5th place solution</a> by <a href=\"https://www.kaggle.com/dvorobiev\">Dmitry Vorobiev</a> (<a href=\"https://www.kaggle.com/dvorobiev/doggies-biggan-sub-data-aug-3\">Notebook</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/104215\">6th place solution</a> by <a href=\"https://www.kaggle.com/theoviel\">Theo Viel</a> (<a href=\"https://www.kaggle.com/theoviel/conditional-progan-30-public\">Notebook</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/106452\">8th place solution</a> by <a href=\"https://www.kaggle.com/katotetsuro\">tkato</a> (<a href=\"https://www.kaggle.com/katotetsuro/stylegan-private-89?scriptVersionId=18524688\">Notebook</a>, <a href=\"https://github.com/katotetsuro/chainer-stylegan/tree/ac\">GitHub</a>)\n10th place solution by <a href=\"https://www.kaggle.com/johannl\">Johannl</a> (<a href=\"https://www.kaggle.com/johannl/sn-dcgan?scriptVersionId=18544882\">Notebook</a>)\n11th place solution by <a href=\"https://www.kaggle.com/leonshangguan\">LeonShangguan</a> (<a href=\"https://www.kaggle.com/leonshangguan/dcgan-data-cleaning-sub-v1?scriptVersionId=18470145\">Notebook</a>)</p>\n\n<p>Congrats and thanks to all the wonderful folks of this community for sharing!</p>",
  "messages": [
    {
      "id": "610927",
      "postDate": "08/29/2019 03:03:04",
      "content": "<p>List of all gold medal solutions shared:</p>\n\n<p><a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/106324\">1st place solution</a> by <a href=\"https://www.kaggle.com/tikutiku\">Tom</a>\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/104211\">2nd place solution</a> by <a href=\"https://www.kaggle.com/yukia18\">yabea</a> (<a href=\"https://www.kaggle.com/yukia18/sub-rals-ac-biggan-with-minibatchstddev\">Notebook</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/106514\">3rd place solution</a> by <a href=\"https://www.kaggle.com/lisali\">lli</a> (<a href=\"https://www.kaggle.com/lisali/sagan-submit-2?scriptVersionId=18714508\">Notebook</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/104281\">4th place solution</a> by <a href=\"https://www.kaggle.com/bestfitting\">bestfitting</a> (<a href=\"https://www.kaggle.com/bestfitting/i96-1e-4-6e-4-bs32-195\">Notebook 1</a>, <a href=\"https://www.kaggle.com/bestfitting/i96-crop-mode3-dstep1-1e-4-6e-4-bs32\">Notebook 2</a>, <a href=\"https://github.com/bestfitting/kaggle/tree/master/gandogs\">GitHub</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/104287\">5th place solution</a> by <a href=\"https://www.kaggle.com/dvorobiev\">Dmitry Vorobiev</a> (<a href=\"https://www.kaggle.com/dvorobiev/doggies-biggan-sub-data-aug-3\">Notebook</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/104215\">6th place solution</a> by <a href=\"https://www.kaggle.com/theoviel\">Theo Viel</a> (<a href=\"https://www.kaggle.com/theoviel/conditional-progan-30-public\">Notebook</a>)\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/106452\">8th place solution</a> by <a href=\"https://www.kaggle.com/katotetsuro\">tkato</a> (<a href=\"https://www.kaggle.com/katotetsuro/stylegan-private-89?scriptVersionId=18524688\">Notebook</a>, <a href=\"https://github.com/katotetsuro/chainer-stylegan/tree/ac\">GitHub</a>)\n10th place solution by <a href=\"https://www.kaggle.com/johannl\">Johannl</a> (<a href=\"https://www.kaggle.com/johannl/sn-dcgan?scriptVersionId=18544882\">Notebook</a>)\n11th place solution by <a href=\"https://www.kaggle.com/leonshangguan\">LeonShangguan</a> (<a href=\"https://www.kaggle.com/leonshangguan/dcgan-data-cleaning-sub-v1?scriptVersionId=18470145\">Notebook</a>)</p>\n\n<p>Congrats and thanks to all the wonderful folks of this community for sharing!</p>",
      "rawMarkdown": "List of all gold medal solutions shared:\n\n[1st place solution](https://www.kaggle.com/c/generative-dog-images/discussion/106324) by [Tom](https://www.kaggle.com/tikutiku)\n[2nd place solution](https://www.kaggle.com/c/generative-dog-images/discussion/104211) by [yabea](https://www.kaggle.com/yukia18) ([Notebook](https://www.kaggle.com/yukia18/sub-rals-ac-biggan-with-minibatchstddev))\n[3rd place solution](https://www.kaggle.com/c/generative-dog-images/discussion/106514) by [lli](https://www.kaggle.com/lisali) ([Notebook](https://www.kaggle.com/lisali/sagan-submit-2?scriptVersionId=18714508))\n[4th place solution](https://www.kaggle.com/c/generative-dog-images/discussion/104281) by [bestfitting](https://www.kaggle.com/bestfitting) ([Notebook 1](https://www.kaggle.com/bestfitting/i96-1e-4-6e-4-bs32-195), [Notebook 2](https://www.kaggle.com/bestfitting/i96-crop-mode3-dstep1-1e-4-6e-4-bs32), [GitHub](https://github.com/bestfitting/kaggle/tree/master/gandogs))\n[5th place solution](https://www.kaggle.com/c/generative-dog-images/discussion/104287) by [Dmitry Vorobiev](https://www.kaggle.com/dvorobiev) ([Notebook](https://www.kaggle.com/dvorobiev/doggies-biggan-sub-data-aug-3))\n[6th place solution](https://www.kaggle.com/c/generative-dog-images/discussion/104215) by [Theo Viel](https://www.kaggle.com/theoviel) ([Notebook](https://www.kaggle.com/theoviel/conditional-progan-30-public))\n[8th place solution](https://www.kaggle.com/c/generative-dog-images/discussion/106452) by [tkato](https://www.kaggle.com/katotetsuro) ([Notebook](https://www.kaggle.com/katotetsuro/stylegan-private-89?scriptVersionId=18524688), [GitHub](https://github.com/katotetsuro/chainer-stylegan/tree/ac))\n10th place solution by [Johannl](https://www.kaggle.com/johannl) ([Notebook](https://www.kaggle.com/johannl/sn-dcgan?scriptVersionId=18544882))\n11th place solution by [LeonShangguan](https://www.kaggle.com/leonshangguan) ([Notebook](https://www.kaggle.com/leonshangguan/dcgan-data-cleaning-sub-v1?scriptVersionId=18470145))\n\nCongrats and thanks to all the wonderful folks of this community for sharing!",
      "votes": null
    },
    {
      "id": "611205",
      "postDate": "08/29/2019 06:56:36",
      "content": "<p>Thanks for summary !! <a href=\"/rohanrao\">@rohanrao</a> </p>",
      "rawMarkdown": "Thanks for summary !! @rohanrao",
      "votes": null
    },
    {
      "id": "611232",
      "postDate": "08/29/2019 07:15:58",
      "content": "<p>Congrats on your strong performance! I hope to add your name in more gold solution lists (like Santander) in future!</p>",
      "rawMarkdown": "Congrats on your strong performance! I hope to add your name in more gold solution lists (like Santander) in future!",
      "votes": null
    },
    {
      "id": "611473",
      "postDate": "08/29/2019 09:26:04",
      "content": "<p><a href=\"/rohanrao\">@rohanrao</a> , thanks for compiling this list of winning solutions.</p>\n\n<p>You saved a lot if time.</p>\n\n<p>Thanks</p>",
      "rawMarkdown": "rohanrao , thanks for compiling this list of winning solutions.\n\nYou saved a lot if time.\n\nThanks",
      "votes": null
    },
    {
      "id": "611572",
      "postDate": "08/29/2019 10:24:46",
      "content": "<p>Thank you for sharing!\nAll these solutions I've read are amazing, I have to work so much harder to get at their level. </p>",
      "rawMarkdown": "Thank you for sharing!\nAll these solutions I've read are amazing, I have to work so much harder to get at their level.",
      "votes": null
    },
    {
      "id": "614947",
      "postDate": "09/01/2019 09:30:46",
      "content": "<p>Check this GitHub repo they have links to all solutions of(Kaggle, Machine hack, Data Hack and other competition platforms ): <a href=\"https://github.com/interviewBubble/Data-Science-Competitions\">https://github.com/interviewBubble/Data-Science-Competitions</a></p>",
      "rawMarkdown": "Check this GitHub repo they have links to all solutions of(Kaggle, Machine hack, Data Hack and other competition platforms ): https://github.com/interviewBubble/Data-Science-Competitions",
      "votes": null
    },
    {
      "id": "652708",
      "postDate": "10/19/2019 09:08:21",
      "content": "<p>Thank you very much👍 </p>",
      "rawMarkdown": "Thank you very much👍",
      "votes": null
    },
    {
      "id": "758953",
      "postDate": "02/28/2020 11:46:05",
      "content": "<p>thank you  a lot</p>",
      "rawMarkdown": "thank you  a lot",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 611205,
      "author_name": "super13579",
      "author_url": "",
      "post_date": "08/29/2019 06:56:36",
      "content": "<p>Thanks for summary !! <a href=\"/rohanrao\">@rohanrao</a> </p>",
      "votes": null,
      "replies": [
        {
          "id": 611232,
          "author_name": "rohanrao",
          "author_url": "",
          "post_date": "08/29/2019 07:15:58",
          "content": "<p>Congrats on your strong performance! I hope to add your name in more gold solution lists (like Santander) in future!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 611473,
      "author_name": "prashant111",
      "author_url": "",
      "post_date": "08/29/2019 09:26:04",
      "content": "<p><a href=\"/rohanrao\">@rohanrao</a> , thanks for compiling this list of winning solutions.</p>\n\n<p>You saved a lot if time.</p>\n\n<p>Thanks</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 611572,
      "author_name": "timetraveller98",
      "author_url": "",
      "post_date": "08/29/2019 10:24:46",
      "content": "<p>Thank you for sharing!\nAll these solutions I've read are amazing, I have to work so much harder to get at their level. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 614947,
      "author_name": "therahasya00",
      "author_url": "",
      "post_date": "09/01/2019 09:30:46",
      "content": "<p>Check this GitHub repo they have links to all solutions of(Kaggle, Machine hack, Data Hack and other competition platforms ): <a href=\"https://github.com/interviewBubble/Data-Science-Competitions\">https://github.com/interviewBubble/Data-Science-Competitions</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 652708,
          "author_name": "pagenotfound",
          "author_url": "",
          "post_date": "10/19/2019 09:08:21",
          "content": "<p>Thank you very much👍 </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 758953,
      "author_name": "jijeng",
      "author_url": "",
      "post_date": "02/28/2020 11:46:05",
      "content": "<p>thank you  a lot</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "610927": "List of all gold medal solutions shared:\n\n[1st place solution](https://www.kaggle.com/c/generative-dog-images/discussion/106324) by [Tom](https://www.kaggle.com/tikutiku)\n[2nd place solution](https://www.kaggle.com/c/generative-dog-images/discussion/104211) by [yabea](https://www.kaggle.com/yukia18) ([Notebook](https://www.kaggle.com/yukia18/sub-rals-ac-biggan-with-minibatchstddev))\n[3rd place solution](https://www.kaggle.com/c/generative-dog-images/discussion/106514) by [lli](https://www.kaggle.com/lisali) ([Notebook](https://www.kaggle.com/lisali/sagan-submit-2?scriptVersionId=18714508))\n[4th place solution](https://www.kaggle.com/c/generative-dog-images/discussion/104281) by [bestfitting](https://www.kaggle.com/bestfitting) ([Notebook 1](https://www.kaggle.com/bestfitting/i96-1e-4-6e-4-bs32-195), [Notebook 2](https://www.kaggle.com/bestfitting/i96-crop-mode3-dstep1-1e-4-6e-4-bs32), [GitHub](https://github.com/bestfitting/kaggle/tree/master/gandogs))\n[5th place solution](https://www.kaggle.com/c/generative-dog-images/discussion/104287) by [Dmitry Vorobiev](https://www.kaggle.com/dvorobiev) ([Notebook](https://www.kaggle.com/dvorobiev/doggies-biggan-sub-data-aug-3))\n[6th place solution](https://www.kaggle.com/c/generative-dog-images/discussion/104215) by [Theo Viel](https://www.kaggle.com/theoviel) ([Notebook](https://www.kaggle.com/theoviel/conditional-progan-30-public))\n[8th place solution](https://www.kaggle.com/c/generative-dog-images/discussion/106452) by [tkato](https://www.kaggle.com/katotetsuro) ([Notebook](https://www.kaggle.com/katotetsuro/stylegan-private-89?scriptVersionId=18524688), [GitHub](https://github.com/katotetsuro/chainer-stylegan/tree/ac))\n10th place solution by [Johannl](https://www.kaggle.com/johannl) ([Notebook](https://www.kaggle.com/johannl/sn-dcgan?scriptVersionId=18544882))\n11th place solution by [LeonShangguan](https://www.kaggle.com/leonshangguan) ([Notebook](https://www.kaggle.com/leonshangguan/dcgan-data-cleaning-sub-v1?scriptVersionId=18470145))\n\nCongrats and thanks to all the wonderful folks of this community for sharing!",
    "611205": "Thanks for summary !! @rohanrao",
    "611232": "Congrats on your strong performance! I hope to add your name in more gold solution lists (like Santander) in future!",
    "611473": "rohanrao , thanks for compiling this list of winning solutions.\n\nYou saved a lot if time.\n\nThanks",
    "611572": "Thank you for sharing!\nAll these solutions I've read are amazing, I have to work so much harder to get at their level.",
    "614947": "Check this GitHub repo they have links to all solutions of(Kaggle, Machine hack, Data Hack and other competition platforms ): https://github.com/interviewBubble/Data-Science-Competitions",
    "652708": "Thank you very much👍",
    "758953": "thank you  a lot"
  },
  "source": "meta"
}