{
  "id": 260843,
  "title": "Various models for TensorFlow (ResNeXt50, Wide ResNet)",
  "url": "/competitions/seti-breakthrough-listen/discussion/260843",
  "author_name": "Araik Tamazian",
  "post_date": "2021-08-03T20:47:28.330000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I found a great package <code>tf2-resnets</code> (<a href=\"https://github.com/RichardXiao13/TensorFlow-ResNets\" target=\"_blank\">source</a>), which includes many models with imagenet weights not present in <code>tf.keras.applications</code>  like ResNeXt50 and Wide ResNet.</p>\n<p>UPD: The package is now fixed to work with TF 2.4.1.</p>",
  "messages": [
    {
      "id": 1441661,
      "postDate": "2021-08-03T20:47:28.330Z",
      "content": "<p>I found a great package <code>tf2-resnets</code> (<a href=\"https://github.com/RichardXiao13/TensorFlow-ResNets\" target=\"_blank\">source</a>), which includes many models with imagenet weights not present in <code>tf.keras.applications</code>  like ResNeXt50 and Wide ResNet.</p>\n<p>UPD: The package is now fixed to work with TF 2.4.1.</p>",
      "rawMarkdown": "I found a great package ` tf2-resnets` ([source](https://github.com/RichardXiao13/TensorFlow-ResNets)), which includes many models with imagenet weights not present in `tf.keras.applications`  like ResNeXt50 and Wide ResNet.\n\nUPD: The package is now fixed to work with TF 2.4.1.\n",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1441661": "I found a great package ` tf2-resnets` ([source](https://github.com/RichardXiao13/TensorFlow-ResNets)), which includes many models with imagenet weights not present in `tf.keras.applications`  like ResNeXt50 and Wide ResNet.\n\nUPD: The package is now fixed to work with TF 2.4.1.\n"
  }
}