{
  "id": 57742,
  "title": "How to use CNN(Unet style)/LSTM for track reconstruction",
  "url": "/competitions/trackml-particle-identification/discussion/57742",
  "author_name": "",
  "post_date": "2018-05-28T11:57:29.854640100Z",
  "votes": 12,
  "comment_count": 1,
  "views": 0,
  "content": "<ol>\n<li><p>Paper about CNN in particle track prediction with 3D case <a href=\"https://indico.cern.ch/event/577003/papers/2476580/files/4906-hep-trkx-project.pdf\">https://indico.cern.ch/event/577003/papers/2476580/files/4906-hep-trkx-project.pdf</a></p></li>\n<li><p>Starter implementation <a href=\"https://github.com/HEPTrkX/heptrkx-ctd\">https://github.com/HEPTrkX/heptrkx-ctd</a></p></li>\n<li><p>And presentation about track reconstruction using CNN/LSTM  <a href=\"https://indico.cern.ch/event/595059/contributions/2498118/attachments/1431635/2199380/03222017heptrkx_IML.pdf\">https://indico.cern.ch/event/595059/contributions/2498118/attachments/1431635/2199380/03222017heptrkx_IML.pdf</a>  </p></li>\n</ol>\n\n<p>Thanks to author!</p>",
  "messages": [
    {
      "id": "334771",
      "postDate": "05/28/2018 11:57:29",
      "content": "<ol>\n<li><p>Paper about CNN in particle track prediction with 3D case <a href=\"https://indico.cern.ch/event/577003/papers/2476580/files/4906-hep-trkx-project.pdf\">https://indico.cern.ch/event/577003/papers/2476580/files/4906-hep-trkx-project.pdf</a></p></li>\n<li><p>Starter implementation <a href=\"https://github.com/HEPTrkX/heptrkx-ctd\">https://github.com/HEPTrkX/heptrkx-ctd</a></p></li>\n<li><p>And presentation about track reconstruction using CNN/LSTM  <a href=\"https://indico.cern.ch/event/595059/contributions/2498118/attachments/1431635/2199380/03222017heptrkx_IML.pdf\">https://indico.cern.ch/event/595059/contributions/2498118/attachments/1431635/2199380/03222017heptrkx_IML.pdf</a>  </p></li>\n</ol>\n\n<p>Thanks to author!</p>",
      "rawMarkdown": "1. Paper about CNN in particle track prediction with 3D case https://indico.cern.ch/event/577003/papers/2476580/files/4906-hep-trkx-project.pdf\n\n2. Starter implementation https://github.com/HEPTrkX/heptrkx-ctd\n\n3. And presentation about track reconstruction using CNN/LSTM  https://indico.cern.ch/event/595059/contributions/2498118/attachments/1431635/2199380/03222017heptrkx_IML.pdf  \n\nThanks to author!",
      "votes": null
    },
    {
      "id": "334783",
      "postDate": "05/28/2018 12:24:36",
      "content": "<p>interesting</p>",
      "rawMarkdown": "interesting",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 334783,
      "author_name": "arunabh15091989",
      "author_url": "",
      "post_date": "05/28/2018 12:24:36",
      "content": "<p>interesting</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "334771": "1. Paper about CNN in particle track prediction with 3D case https://indico.cern.ch/event/577003/papers/2476580/files/4906-hep-trkx-project.pdf\n\n2. Starter implementation https://github.com/HEPTrkX/heptrkx-ctd\n\n3. And presentation about track reconstruction using CNN/LSTM  https://indico.cern.ch/event/595059/contributions/2498118/attachments/1431635/2199380/03222017heptrkx_IML.pdf  \n\nThanks to author!",
    "334783": "interesting"
  },
  "source": "meta"
}