Machine Learning Model TrainingML Frameworks

Compression

Data compression in TensorFlow

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TensorFlow Compression (TFC) offers a library for implementing data compression techniques within TensorFlow. It enables users to create machine learning models that incorporate optimized data compression, allowing for efficient storage of data with minimal impact on model performance. The library includes features such as range coding implementations, entropy model classes, and additional TensorFlow functions and Keras layers tailored for learned data compression. As of February 1, 2024, TFC is in maintenance mode, with no new features planned but ongoing maintenance fixes.

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923
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258
License
Apache-2.0
Last commit
6 months ago
Python

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