@@ -10,6 +10,9 @@ can take full advantage of TensorFlow for their research and product development
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@@ -10,6 +10,9 @@ can take full advantage of TensorFlow for their research and product development
| [official](official) | • A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs<br/>• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow<br/>• Reasonably optimized for fast performance while still being easy to read |
| [official](official) | • A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs<br/>• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow<br/>• Reasonably optimized for fast performance while still being easy to read |
| [research](research) | • A collection of research model implementations in TensorFlow 1 or 2 by researchers<br/>• Maintained and supported by researchers |
| [research](research) | • A collection of research model implementations in TensorFlow 1 or 2 by researchers<br/>• Maintained and supported by researchers |
| [community](community) | • A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2 |
| [community](community) | • A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2 |
| [orbit](orbit) | A flexible, lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with `tf.distribute` and supports running on different device types (CPU, GPU, and TPU). |
