# chrundle/biprop

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51 stars · 12 forks · Python · Apache-2.0

## Links

- GitHub: https://github.com/chrundle/biprop
- awesome-repositories: https://awesome-repositories.com/repository/chrundle-biprop.md

## Description

This method identifies a binary weight or binary weight and activation subnetwork within a randomly initialized network that achieves performance comparable to, and sometimes better than, a weight-optimized network. The resulting binarized and pruned networks that achieve comparable performance…

## Tags

### Part of an Awesome List

- [Quantization Frameworks](https://awesome-repositories.com/f/awesome-lists/ai/quantization-frameworks.md) — Finding accurate binary neural networks by pruning.
- [Weight Pruning](https://awesome-repositories.com/f/awesome-lists/ai/weight-pruning.md) — Finding binary neural networks via random network pruning.