{
  "id": 78078,
  "title": "SE pretrained classification models for Keras.",
  "url": "/competitions/humpback-whale-identification/discussion/78078",
  "author_name": "Pavel Iakubovskii (qubvel)",
  "post_date": "2019-01-19T14:14:49.324000",
  "votes": 65,
  "comment_count": 7,
  "views": 0,
  "content": "<p>Hi all!</p>\n\n<p>I have just released library for Keras with classification models trained on ImageNet: </p>\n\n<ul>\n<li>Latest keras_applications models  </li>\n<li>ResNets converted from MXNet  </li>\n<li>SE-ResNets, SE-ResNexts, SENet converted from PyTorch  </li>\n</ul>\n\n<p><strong>PyPI:</strong> <code>pip install image-classifiers==0.2.0</code></p>\n\n<p>Hope it will be helpful, more information here:\n<a href=\"https://github.com/qubvel/classification_models\">https://github.com/qubvel/classification_models</a></p>",
  "messages": [
    {
      "id": 458395,
      "postDate": "2019-01-19T14:14:49.323Z",
      "content": "<p>Hi all!</p>\n\n<p>I have just released library for Keras with classification models trained on ImageNet: </p>\n\n<ul>\n<li>Latest keras_applications models  </li>\n<li>ResNets converted from MXNet  </li>\n<li>SE-ResNets, SE-ResNexts, SENet converted from PyTorch  </li>\n</ul>\n\n<p><strong>PyPI:</strong> <code>pip install image-classifiers==0.2.0</code></p>\n\n<p>Hope it will be helpful, more information here:\n<a href=\"https://github.com/qubvel/classification_models\">https://github.com/qubvel/classification_models</a></p>",
      "rawMarkdown": "Hi all!\n\nI have just released library for Keras with classification models trained on ImageNet: \n \n - Latest keras_applications models  \n - ResNets converted from MXNet  \n - SE-ResNets, SE-ResNexts, SENet converted from PyTorch  \n\n**PyPI:** `pip install image-classifiers==0.2.0`\n\n\nHope it will be helpful, more information here:\nhttps://github.com/qubvel/classification_models",
      "votes": 66
    },
    {
      "id": 462805,
      "postDate": "2019-01-28T23:35:12.497Z",
      "content": "<p>Thank you. Can't say enough how I appreciate your model zoo. I use it a lot. </p>",
      "rawMarkdown": "Thank you. Can't say enough how I appreciate your model zoo. I use it a lot. ",
      "votes": 1
    },
    {
      "id": 458589,
      "postDate": "2019-01-20T01:56:24.790Z",
      "content": "<p>Thank you so much for your work. Very helpful for keras users indeed!</p>",
      "rawMarkdown": "Thank you so much for your work. Very helpful for keras users indeed!"
    },
    {
      "id": 464922,
      "postDate": "2019-02-01T20:13:14.943Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 458504,
      "postDate": "2019-01-19T19:53:31.783Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 468726,
      "postDate": "2019-02-09T15:00:24.137Z",
      "content": "<p>thanks for sharing! I ll check it.</p>",
      "rawMarkdown": "thanks for sharing! I ll check it."
    },
    {
      "id": 458972,
      "postDate": "2019-01-20T23:30:44.360Z",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!"
    },
    {
      "id": 458847,
      "postDate": "2019-01-20T15:59:14.597Z",
      "content": "<p>Thanks for the work!:D</p>",
      "rawMarkdown": "Thanks for the work!:D"
    }
  ],
  "comments": [
    {
      "id": 462805,
      "author_name": "Dieter",
      "author_url": "",
      "post_date": "2019-01-28T23:35:12.497000",
      "content": "<p>Thank you. Can't say enough how I appreciate your model zoo. I use it a lot. </p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 458589,
      "author_name": "Guanshuo Xu",
      "author_url": "",
      "post_date": "2019-01-20T01:56:24.790000",
      "content": "<p>Thank you so much for your work. Very helpful for keras users indeed!</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 464922,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-02-01T20:13:14.943000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 458504,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-01-19T19:53:31.783000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 468726,
      "author_name": "dhaqui the kaggler",
      "author_url": "",
      "post_date": "2019-02-09T15:00:24.137000",
      "content": "<p>thanks for sharing! I ll check it.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 458972,
      "author_name": "Kirill Blinov",
      "author_url": "",
      "post_date": "2019-01-20T23:30:44.360000",
      "content": "<p>Thank you!</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 458847,
      "author_name": "Abhinav Utkarsh ",
      "author_url": "",
      "post_date": "2019-01-20T15:59:14.597000",
      "content": "<p>Thanks for the work!:D</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "458395": "Hi all!\n\nI have just released library for Keras with classification models trained on ImageNet: \n \n - Latest keras_applications models  \n - ResNets converted from MXNet  \n - SE-ResNets, SE-ResNexts, SENet converted from PyTorch  \n\n**PyPI:** `pip install image-classifiers==0.2.0`\n\n\nHope it will be helpful, more information here:\nhttps://github.com/qubvel/classification_models",
    "462805": "Thank you. Can't say enough how I appreciate your model zoo. I use it a lot. ",
    "458589": "Thank you so much for your work. Very helpful for keras users indeed!",
    "464922": "",
    "458504": "",
    "468726": "thanks for sharing! I ll check it.",
    "458972": "Thank you!",
    "458847": "Thanks for the work!:D"
  }
}