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pypi.org : sparseml : 0.2.0
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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v0.2.0
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Dependencies
- deepsparse ~=0.2 deepsparse
- black >=20.8b1 dev
- flake8 >=3.8.3 dev
- flaky >=3.0.0 dev
- isort >=5.7.0 dev
- pytest >=6.0.0 dev
- recommonmark >=0.7.0 dev
- rinohtype >=0.4.2 dev
- sphinx >=3.4.0 dev
- sphinx-copybutton >=0.3.0 dev
- sphinx-markdown-tables >=0.0.15 dev
- sphinx-rtd-theme * dev
- wheel >=0.36.2 dev
- ipywidgets >=7.0.0
- jupyter >=1.0.0
- matplotlib >=3.0.0
- merge-args >=0.1.0
- numpy >=1.0.0
- onnx <1.8.0,>=1.5.0
- onnxruntime >=1.0.0
- pandas <1.0.0
- progressbar2 >=3.0.0
- psutil >=5.0.0
- pyyaml >=5.0.0
- requests >=2.0.0
- scikit-image >=0.15.0
- scipy >=1.0.0
- sparsezoo ~=0.2
- toposort >=1.0
- tqdm >=4.0.0
- keras2onnx >=1.0.0 tf_keras
- tensorflow ~=2.2.0 tf_keras
- tensorboard <2.0.0 tf_v1
- tensorflow <2.0.0 tf_v1
- tf2onnx <1.6,>=1.0.0 tf_v1
- tensorboard <2.0.0 tf_v1_gpu
- tensorflow-gpu <2.0.0 tf_v1_gpu
- tf2onnx <1.6,>=1.0.0 tf_v1_gpu
- tensorboard >=1.0 torch
- tensorboardX >=1.0 torch
- torch <1.8,>=1.1.0 torch
- tensorboard >=1.0 torchvision
- tensorboardX >=1.0 torchvision
- torch <1.8,>=1.1.0 torchvision
- torchvision <0.9,>=0.3.0 torchvision