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Bayesian-Torch 0.4.0

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@ranganathkrishnan ranganathkrishnan released this 27 Jul 14:16
· 11 commits to main since this release

This release introduces Quantization framework for Bayesian neural networks in Bayesian-Torch.
Support Post Training Quantization of Bayesian deep neural networks, enables optimized and efficient INT8 inference on Intel platforms.

What's Changed

  • Add support for Bayesian neural network quantization | PR: #23
  • Include example for performing post training quantization of Bayesian neural network models | commit c3e9a0f
  • Add support for output padding in flipout layers | PR: #20

Contributors

Full Changelog: v0.3.0...v0.4.0