{
  "id": 416802,
  "title": "1st place code: transformer and acceleration data",
  "url": "/competitions/tlvmc-parkinsons-freezing-gait-prediction/discussion/416802",
  "author_name": "",
  "post_date": "2023-06-13T03:36:56.247483900Z",
  "votes": 18,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Greetings to the Kaggle Community. I published the training and submission code.</p>\n<p>Submission Code <br>\n<a href=\"https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-submission-code\" target=\"_blank\">https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-submission-code</a></p>\n<p>Tdcsfog Train Code <br>\n<a href=\"https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-tdcsfog-training-code\" target=\"_blank\">https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-tdcsfog-training-code</a></p>\n<p>Defog Train Code  <br>\n<a href=\"https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-defog-training-code\" target=\"_blank\">https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-defog-training-code</a></p>\n<p>Datasets <br>\n<a href=\"https://www.kaggle.com/datasets/baurzhanurazalinov/parkinsons-freezing-submission-models\" target=\"_blank\">https://www.kaggle.com/datasets/baurzhanurazalinov/parkinsons-freezing-submission-models</a></p>\n<p>If you want to understand how it works, please read this post:<br>\n<a href=\"https://www.kaggle.com/competitions/tlvmc-parkinsons-freezing-gait-prediction/discussion/416026\" target=\"_blank\">https://www.kaggle.com/competitions/tlvmc-parkinsons-freezing-gait-prediction/discussion/416026</a></p>",
  "messages": [
    {
      "id": "2300131",
      "postDate": "06/13/2023 03:36:56",
      "content": "<p>Greetings to the Kaggle Community. I published the training and submission code.</p>\n<p>Submission Code <br>\n<a href=\"https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-submission-code\" target=\"_blank\">https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-submission-code</a></p>\n<p>Tdcsfog Train Code <br>\n<a href=\"https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-tdcsfog-training-code\" target=\"_blank\">https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-tdcsfog-training-code</a></p>\n<p>Defog Train Code  <br>\n<a href=\"https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-defog-training-code\" target=\"_blank\">https://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-defog-training-code</a></p>\n<p>Datasets <br>\n<a href=\"https://www.kaggle.com/datasets/baurzhanurazalinov/parkinsons-freezing-submission-models\" target=\"_blank\">https://www.kaggle.com/datasets/baurzhanurazalinov/parkinsons-freezing-submission-models</a></p>\n<p>If you want to understand how it works, please read this post:<br>\n<a href=\"https://www.kaggle.com/competitions/tlvmc-parkinsons-freezing-gait-prediction/discussion/416026\" target=\"_blank\">https://www.kaggle.com/competitions/tlvmc-parkinsons-freezing-gait-prediction/discussion/416026</a></p>",
      "rawMarkdown": "Greetings to the Kaggle Community. I published the training and submission code.\n\nSubmission Code \nhttps://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-submission-code\n\nTdcsfog Train Code \nhttps://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-tdcsfog-training-code\n\nDefog Train Code  \nhttps://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-defog-training-code\n\nDatasets \nhttps://www.kaggle.com/datasets/baurzhanurazalinov/parkinsons-freezing-submission-models\n\nIf you want to understand how it works, please read this post:\nhttps://www.kaggle.com/competitions/tlvmc-parkinsons-freezing-gait-prediction/discussion/416026",
      "votes": null
    },
    {
      "id": "2300220",
      "postDate": "06/13/2023 04:59:01",
      "content": "<p>Hearty congratulations for the result!! <br>\nWishing you the best for your future as well! <br>\nGreat work!! </p>",
      "rawMarkdown": "Hearty congratulations for the result!! \nWishing you the best for your future as well! \nGreat work!!",
      "votes": null
    },
    {
      "id": "2316355",
      "postDate": "06/24/2023 20:14:01",
      "content": "<p>Hey congratulations, first off, that's awesome and you deserve it!</p>\n<p>I am pretty new to ML and modelling and was wondering what resources you used to code tensor flow. Obviously the site itself is good, but other resources would be great for me to learn from. I am learning a lot just deciphering your steps.</p>\n<p>Thanks</p>",
      "rawMarkdown": "Hey congratulations, first off, that's awesome and you deserve it!\n\nI am pretty new to ML and modelling and was wondering what resources you used to code tensor flow. Obviously the site itself is good, but other resources would be great for me to learn from. I am learning a lot just deciphering your steps.\n\nThanks",
      "votes": null
    },
    {
      "id": "2316610",
      "postDate": "06/25/2023 05:54:40",
      "content": "<p>Hi, I usually read these pages:<br>\n<a href=\"https://www.tensorflow.org/text/tutorials/transformer\" target=\"_blank\">https://www.tensorflow.org/text/tutorials/transformer</a><br>\n<a href=\"https://www.tensorflow.org/guide/data\" target=\"_blank\">https://www.tensorflow.org/guide/data</a></p>\n<p>For details I use:<br>\n<a href=\"https://github.com/google-research/vision_transformer\" target=\"_blank\">https://github.com/google-research/vision_transformer</a></p>",
      "rawMarkdown": "Hi, I usually read these pages:\nhttps://www.tensorflow.org/text/tutorials/transformer\nhttps://www.tensorflow.org/guide/data\n\nFor details I use:\nhttps://github.com/google-research/vision_transformer",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2300220,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "06/13/2023 04:59:01",
      "content": "<p>Hearty congratulations for the result!! <br>\nWishing you the best for your future as well! <br>\nGreat work!! </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2316355,
      "author_name": "vigneshselvakumaran4",
      "author_url": "",
      "post_date": "06/24/2023 20:14:01",
      "content": "<p>Hey congratulations, first off, that's awesome and you deserve it!</p>\n<p>I am pretty new to ML and modelling and was wondering what resources you used to code tensor flow. Obviously the site itself is good, but other resources would be great for me to learn from. I am learning a lot just deciphering your steps.</p>\n<p>Thanks</p>",
      "votes": null,
      "replies": [
        {
          "id": 2316610,
          "author_name": "baurzhanurazalinov",
          "author_url": "",
          "post_date": "06/25/2023 05:54:40",
          "content": "<p>Hi, I usually read these pages:<br>\n<a href=\"https://www.tensorflow.org/text/tutorials/transformer\" target=\"_blank\">https://www.tensorflow.org/text/tutorials/transformer</a><br>\n<a href=\"https://www.tensorflow.org/guide/data\" target=\"_blank\">https://www.tensorflow.org/guide/data</a></p>\n<p>For details I use:<br>\n<a href=\"https://github.com/google-research/vision_transformer\" target=\"_blank\">https://github.com/google-research/vision_transformer</a></p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2300131": "Greetings to the Kaggle Community. I published the training and submission code.\n\nSubmission Code \nhttps://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-submission-code\n\nTdcsfog Train Code \nhttps://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-tdcsfog-training-code\n\nDefog Train Code  \nhttps://www.kaggle.com/code/baurzhanurazalinov/parkinson-s-freezing-defog-training-code\n\nDatasets \nhttps://www.kaggle.com/datasets/baurzhanurazalinov/parkinsons-freezing-submission-models\n\nIf you want to understand how it works, please read this post:\nhttps://www.kaggle.com/competitions/tlvmc-parkinsons-freezing-gait-prediction/discussion/416026",
    "2300220": "Hearty congratulations for the result!! \nWishing you the best for your future as well! \nGreat work!!",
    "2316355": "Hey congratulations, first off, that's awesome and you deserve it!\n\nI am pretty new to ML and modelling and was wondering what resources you used to code tensor flow. Obviously the site itself is good, but other resources would be great for me to learn from. I am learning a lot just deciphering your steps.\n\nThanks",
    "2316610": "Hi, I usually read these pages:\nhttps://www.tensorflow.org/text/tutorials/transformer\nhttps://www.tensorflow.org/guide/data\n\nFor details I use:\nhttps://github.com/google-research/vision_transformer"
  },
  "source": "meta"
}