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pypi.org : sparseml : 1.7.2
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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purl: pkg:pypi/[email protected]
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Dependencies
- open-clip-torch ==2.20.0 extra == "clip" (optional)
- deepsparse ~=1.7.0 extra == "deepsparse" (optional)
- deepsparse-ent ~=1.7.0 extra == "deepsparse-ent" (optional)
- beautifulsoup4 ==4.9.3 extra == "dev" (optional)
- black ==22.12.0 extra == "dev" (optional)
- evaluate >=0.4.1 extra == "dev" (optional)
- flake8 ==3.9.2 extra == "dev" (optional)
- flaky ~=3.7.0 extra == "dev" (optional)
- isort ==5.8.0 extra == "dev" (optional)
- pytest <8.1.0,>=6.0.0 extra == "dev" (optional)
- pytest-mock >=3.6.0 extra == "dev" (optional)
- tensorboard <2.9,>=1.0 extra == "dev" (optional)
- tensorboardX >=1.0 extra == "dev" (optional)
- wheel >=0.36.2 extra == "dev" (optional)
- docutils <0.17 extra == "docs" (optional)
- m2r2 >=0.2.7 extra == "docs" (optional)
- mistune <3,>=2.0.3 extra == "docs" (optional)
- myst-parser >=0.14.0 extra == "docs" (optional)
- rinohtype ~=0.4.2 extra == "docs" (optional)
- sphinx ~=3.5.0 extra == "docs" (optional)
- sphinx-copybutton ~=0.3.0 extra == "docs" (optional)
- sphinx-markdown-tables ~=0.0.15 extra == "docs" (optional)
- sphinx-multiversion ~=0.2.4 extra == "docs" (optional)
- sphinx-pydantic ~=0.1.0 extra == "docs" (optional)
- sphinx-rtd-theme ~=0.5.0 extra == "docs" (optional)
- accelerate >=0.20.3 extra == "llm" (optional)
- datasets <=2.14.6 extra == "llm" (optional)
- dvc * extra == "llm" (optional)
- einops * extra == "llm" (optional)
- evaluate >=0.4.1 extra == "llm" (optional)
- gputils * extra == "llm" (optional)
- nm-transformers ~=1.7.0 extra == "llm" (optional)
- scikit-learn * extra == "llm" (optional)
- sentencepiece * extra == "llm" (optional)
- seqeval * extra == "llm" (optional)
- torch <2.2,>=1.7.0 extra == "llm" (optional)
- ipywidgets >=7.0.0 extra == "notebook" (optional)
- jupyter >=1.0.0 extra == "notebook" (optional)
- onnxruntime >=1.0.0 extra == "onnxruntime" (optional)
- openpifpaf ==0.13.6 extra == "openpifpaf" (optional)
- keras2onnx >=1.0.0 extra == "tf-keras" (optional)
- tensorflow ~=2.2.0 extra == "tf-keras" (optional)
- tensorboard <2.0.0 extra == "tf-v1" (optional)
- tensorflow <2.0.0 extra == "tf-v1" (optional)
- tf2onnx <1.6,>=1.0.0 extra == "tf-v1" (optional)
- tensorboard <2.0.0 extra == "tf-v1-gpu" (optional)
- tensorflow-gpu <2.0.0 extra == "tf-v1-gpu" (optional)
- tf2onnx <1.6,>=1.0.0 extra == "tf-v1-gpu" (optional)
- gputils * extra == "torch" (optional)
- torch <2.2,>=1.7.0 extra == "torch" (optional)
- gputils * extra == "torch-all" (optional)
- torch <2.2,>=1.7.0 extra == "torch-all" (optional)
- torchaudio <=2.0.1 extra == "torch-all" (optional)
- torchvision <0.17,>=0.3.0 extra == "torch-all" (optional)
- gputils * extra == "torchvision" (optional)
- opencv-python <=4.6.0.66 extra == "torchvision" (optional)
- torch <2.2,>=1.7.0 extra == "torchvision" (optional)
- torchvision <0.17,>=0.3.0 extra == "torchvision" (optional)
- accelerate >=0.20.3 extra == "transformers" (optional)
- datasets <=2.14.6 extra == "transformers" (optional)
- dvc * extra == "transformers" (optional)
- einops * extra == "transformers" (optional)
- evaluate >=0.4.1 extra == "transformers" (optional)
- gputils * extra == "transformers" (optional)
- nm-transformers ~=1.7.0 extra == "transformers" (optional)
- scikit-learn * extra == "transformers" (optional)
- seqeval * extra == "transformers" (optional)
- torch <2.2,>=1.7.0 extra == "transformers" (optional)
- torch <2.2,>=1.7.0 extra == "ultralytics" (optional)
- ultralytics ==8.0.124 extra == "ultralytics" (optional)
- gputils * extra == "yolov5" (optional)
- nm-yolov5 ~=1.7.0 extra == "yolov5" (optional)
- opencv-python <=4.6.0.66 extra == "yolov5" (optional)
- torch <2.2,>=1.7.0 extra == "yolov5" (optional)
- torchvision <0.17,>=0.3.0 extra == "yolov5" (optional)
- scipy <1.9.2,>=1.8 python_version <= "3.9" (optional)
- scipy >=1.0.0 python_version > "3.9" (optional)
- GPUtil >=1.4.0
- click !=8.0.0,>=7.1.2
- matplotlib >=3.0.0
- merge-args >=0.1.0
- numpy >=1.0.0
- onnx <1.15.0,>=1.5.0
- packaging >=20.0
- pandas >=0.25.0
- protobuf <=3.20.3,>=3.12.2
- psutil >=5.0.0
- pydantic <2.0.0,>=1.8.2
- pyyaml >=5.0.0
- requests >=2.0.0
- scikit-learn >=0.24.2
- setuptools <=59.5.0
- sparsezoo ~=1.7.0
- toposort >=1.0
- tqdm >=4.0.0