{
  "id": 108129,
  "title": "Must-see Kernels and topics - Understanding Clouds from Satellite Images",
  "url": "/competitions/understanding_cloud_organization/discussion/108129",
  "author_name": "",
  "post_date": "2019-09-09T09:37:55.415297900Z",
  "votes": 17,
  "comment_count": 6,
  "views": 0,
  "content": "<p><em>Trying to keep all the relevant Kernels and posts in this topic</em></p>\n\n<h3><strong>EDA</strong></h3>\n\n<p><a href=\"https://www.kaggle.com/maxlenormand/basic-eda-successful-mask-plotting\">https://www.kaggle.com/maxlenormand/basic-eda-successful-mask-plotting</a></p>\n\n<p><a href=\"https://www.kaggle.com/ekhtiar/eda-find-me-in-the-clouds\">https://www.kaggle.com/ekhtiar/eda-find-me-in-the-clouds</a></p>\n\n<p><a href=\"https://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net\">https://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net</a></p>\n\n<p><a href=\"https://www.kaggle.com/leonshangguan/eda-cloud-analysis\">https://www.kaggle.com/leonshangguan/eda-cloud-analysis</a></p>\n\n<p><a href=\"https://www.kaggle.com/thanatoz/basic-eda-of-satellite-clouds-dataset\">https://www.kaggle.com/thanatoz/basic-eda-of-satellite-clouds-dataset</a></p>\n\n<h3><strong>Data Augmentation</strong></h3>\n\n<p><a href=\"https://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379\">https://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379</a></p>\n\n<h3><strong>Basic Models</strong></h3>\n\n<p><a href=\"https://www.kaggle.com/ateplyuk/satelite-easy-starter-keras\">https://www.kaggle.com/ateplyuk/satelite-easy-starter-keras</a></p>\n\n<h3><strong>Keras Models</strong></h3>\n\n<p><a href=\"https://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net\">https://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net</a></p>\n\n<p><a href=\"https://www.kaggle.com/gogo827jz/resunet-keras-with-some-new-ideas\">https://www.kaggle.com/gogo827jz/resunet-keras-with-some-new-ideas</a></p>\n\n<p><a href=\"https://www.kaggle.com/xhlulu/satellite-clouds-u-net-with-resnet-encoder\">https://www.kaggle.com/xhlulu/satellite-clouds-u-net-with-resnet-encoder</a></p>\n\n<p><a href=\"https://www.kaggle.com/saneryee/understanding-clouds-keras-unet\">https://www.kaggle.com/saneryee/understanding-clouds-keras-unet</a></p>\n\n<p><a href=\"https://www.kaggle.com/mobassir/keras-efficientnetb3-for-classifying-cloud\">https://www.kaggle.com/mobassir/keras-efficientnetb3-for-classifying-cloud</a></p>\n\n<h3>Pytorch Models</h3>\n\n<p><a href=\"https://www.kaggle.com/artgor/segmentation-in-pytorch-using-convenient-tools\">https://www.kaggle.com/artgor/segmentation-in-pytorch-using-convenient-tools</a></p>",
  "messages": [
    {
      "id": "622115",
      "postDate": "09/09/2019 09:37:55",
      "content": "<p><em>Trying to keep all the relevant Kernels and posts in this topic</em></p>\n\n<h3><strong>EDA</strong></h3>\n\n<p><a href=\"https://www.kaggle.com/maxlenormand/basic-eda-successful-mask-plotting\">https://www.kaggle.com/maxlenormand/basic-eda-successful-mask-plotting</a></p>\n\n<p><a href=\"https://www.kaggle.com/ekhtiar/eda-find-me-in-the-clouds\">https://www.kaggle.com/ekhtiar/eda-find-me-in-the-clouds</a></p>\n\n<p><a href=\"https://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net\">https://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net</a></p>\n\n<p><a href=\"https://www.kaggle.com/leonshangguan/eda-cloud-analysis\">https://www.kaggle.com/leonshangguan/eda-cloud-analysis</a></p>\n\n<p><a href=\"https://www.kaggle.com/thanatoz/basic-eda-of-satellite-clouds-dataset\">https://www.kaggle.com/thanatoz/basic-eda-of-satellite-clouds-dataset</a></p>\n\n<h3><strong>Data Augmentation</strong></h3>\n\n<p><a href=\"https://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379\">https://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379</a></p>\n\n<h3><strong>Basic Models</strong></h3>\n\n<p><a href=\"https://www.kaggle.com/ateplyuk/satelite-easy-starter-keras\">https://www.kaggle.com/ateplyuk/satelite-easy-starter-keras</a></p>\n\n<h3><strong>Keras Models</strong></h3>\n\n<p><a href=\"https://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net\">https://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net</a></p>\n\n<p><a href=\"https://www.kaggle.com/gogo827jz/resunet-keras-with-some-new-ideas\">https://www.kaggle.com/gogo827jz/resunet-keras-with-some-new-ideas</a></p>\n\n<p><a href=\"https://www.kaggle.com/xhlulu/satellite-clouds-u-net-with-resnet-encoder\">https://www.kaggle.com/xhlulu/satellite-clouds-u-net-with-resnet-encoder</a></p>\n\n<p><a href=\"https://www.kaggle.com/saneryee/understanding-clouds-keras-unet\">https://www.kaggle.com/saneryee/understanding-clouds-keras-unet</a></p>\n\n<p><a href=\"https://www.kaggle.com/mobassir/keras-efficientnetb3-for-classifying-cloud\">https://www.kaggle.com/mobassir/keras-efficientnetb3-for-classifying-cloud</a></p>\n\n<h3>Pytorch Models</h3>\n\n<p><a href=\"https://www.kaggle.com/artgor/segmentation-in-pytorch-using-convenient-tools\">https://www.kaggle.com/artgor/segmentation-in-pytorch-using-convenient-tools</a></p>",
      "rawMarkdown": "*Trying to keep all the relevant Kernels and posts in this topic*\n\n### **EDA**\nhttps://www.kaggle.com/maxlenormand/basic-eda-successful-mask-plotting\n\nhttps://www.kaggle.com/ekhtiar/eda-find-me-in-the-clouds\n\nhttps://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net\n\nhttps://www.kaggle.com/leonshangguan/eda-cloud-analysis\n\nhttps://www.kaggle.com/thanatoz/basic-eda-of-satellite-clouds-dataset\n\n### **Data Augmentation**\n\nhttps://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379\n\n###  **Basic Models**\nhttps://www.kaggle.com/ateplyuk/satelite-easy-starter-keras\n\n### **Keras Models**\nhttps://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net\n\nhttps://www.kaggle.com/gogo827jz/resunet-keras-with-some-new-ideas\n\nhttps://www.kaggle.com/xhlulu/satellite-clouds-u-net-with-resnet-encoder\n\nhttps://www.kaggle.com/saneryee/understanding-clouds-keras-unet\n\nhttps://www.kaggle.com/mobassir/keras-efficientnetb3-for-classifying-cloud\n\n### Pytorch Models\nhttps://www.kaggle.com/artgor/segmentation-in-pytorch-using-convenient-tools",
      "votes": null
    },
    {
      "id": "622771",
      "postDate": "09/10/2019 04:37:28",
      "content": "<p><a href=\"https://www.kaggle.com/ryches/understanding-clouds-resized\">https://www.kaggle.com/ryches/understanding-clouds-resized</a></p>",
      "rawMarkdown": "https://www.kaggle.com/ryches/understanding-clouds-resized",
      "votes": null
    },
    {
      "id": "624683",
      "postDate": "09/12/2019 09:19:19",
      "content": "<p>Thanks for mentioning mine! And for keeping track per section</p>",
      "rawMarkdown": "Thanks for mentioning mine! And for keeping track per section",
      "votes": null
    },
    {
      "id": "626989",
      "postDate": "09/15/2019 08:20:38",
      "content": "<p>Thanks for this sharing!</p>",
      "rawMarkdown": "Thanks for this sharing!",
      "votes": null
    },
    {
      "id": "634558",
      "postDate": "09/26/2019 12:44:19",
      "content": "<p>Added <a href=\"https://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379\">Data Augmentation</a> from this brilliant thread by <a href=\"/joonl04\">@joonl04</a> </p>",
      "rawMarkdown": "Added [Data Augmentation](https://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379) from this brilliant thread by @joonl04",
      "votes": null
    },
    {
      "id": "634736",
      "postDate": "09/26/2019 17:23:33",
      "content": "<p>Thank you for sharing! And mentioning mine too haha</p>",
      "rawMarkdown": "Thank you for sharing! And mentioning mine too haha",
      "votes": null
    },
    {
      "id": "702547",
      "postDate": "12/24/2019 20:10:55",
      "content": "<p>Great resources.</p>",
      "rawMarkdown": "Great resources.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 622771,
      "author_name": "mightyrains",
      "author_url": "",
      "post_date": "09/10/2019 04:37:28",
      "content": "<p><a href=\"https://www.kaggle.com/ryches/understanding-clouds-resized\">https://www.kaggle.com/ryches/understanding-clouds-resized</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 624683,
      "author_name": "maxlenormand",
      "author_url": "",
      "post_date": "09/12/2019 09:19:19",
      "content": "<p>Thanks for mentioning mine! And for keeping track per section</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 626989,
      "author_name": "linhlpv",
      "author_url": "",
      "post_date": "09/15/2019 08:20:38",
      "content": "<p>Thanks for this sharing!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 634558,
      "author_name": "datachampion",
      "author_url": "",
      "post_date": "09/26/2019 12:44:19",
      "content": "<p>Added <a href=\"https://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379\">Data Augmentation</a> from this brilliant thread by <a href=\"/joonl04\">@joonl04</a> </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 634736,
      "author_name": "joonl04",
      "author_url": "",
      "post_date": "09/26/2019 17:23:33",
      "content": "<p>Thank you for sharing! And mentioning mine too haha</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 702547,
      "author_name": "nagellette",
      "author_url": "",
      "post_date": "12/24/2019 20:10:55",
      "content": "<p>Great resources.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "622115": "*Trying to keep all the relevant Kernels and posts in this topic*\n\n### **EDA**\nhttps://www.kaggle.com/maxlenormand/basic-eda-successful-mask-plotting\n\nhttps://www.kaggle.com/ekhtiar/eda-find-me-in-the-clouds\n\nhttps://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net\n\nhttps://www.kaggle.com/leonshangguan/eda-cloud-analysis\n\nhttps://www.kaggle.com/thanatoz/basic-eda-of-satellite-clouds-dataset\n\n### **Data Augmentation**\n\nhttps://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379\n\n###  **Basic Models**\nhttps://www.kaggle.com/ateplyuk/satelite-easy-starter-keras\n\n### **Keras Models**\nhttps://www.kaggle.com/dimitreoliveira/understanding-clouds-eda-and-keras-u-net\n\nhttps://www.kaggle.com/gogo827jz/resunet-keras-with-some-new-ideas\n\nhttps://www.kaggle.com/xhlulu/satellite-clouds-u-net-with-resnet-encoder\n\nhttps://www.kaggle.com/saneryee/understanding-clouds-keras-unet\n\nhttps://www.kaggle.com/mobassir/keras-efficientnetb3-for-classifying-cloud\n\n### Pytorch Models\nhttps://www.kaggle.com/artgor/segmentation-in-pytorch-using-convenient-tools",
    "622771": "https://www.kaggle.com/ryches/understanding-clouds-resized",
    "624683": "Thanks for mentioning mine! And for keeping track per section",
    "626989": "Thanks for this sharing!",
    "634558": "Added [Data Augmentation](https://www.kaggle.com/c/understanding_cloud_organization/discussion/109645#latest-633379) from this brilliant thread by @joonl04",
    "634736": "Thank you for sharing! And mentioning mine too haha",
    "702547": "Great resources."
  },
  "source": "meta"
}