This repository was archived by the owner on Jun 3, 2025. It is now read-only.
SparseML v0.2.0
New Features:
- Keras sparsification beta supporting pruning and examples with Keras Applications available.
- Training and sparsification integrated with the rwightman/pytorch-image-models repository.
- Training, sparsification, and deployment integrated with the ultralytics/yolov5 repository.
- Integrations with the SparseZoo to run PyTorch and Keras code implemented with recipes directly from the zoo.
- PyTorch sparse-quantized transfer learning notebook available.
- Keras pruned ResNet models implemented.
- Groups of modifiers enabled in SparseML recipes.
Changes:
- Examples directory renamed to integrations.
Resolved Issues:
- GroupedPruningMaskCreator now able to save to PyTorch state dicts.
- Quantization-aware training compatibility issues addressed with PyTorch.
- Docs and readme corrections made for minor issues and broken links.
- Makefile no longer deletes files for docs compilation and cleaning.
Known Issues:
- None