Metadata-Version: 2.1
Name: qsparse
Version: 2.0.0
Summary: train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
Home-page: https://qsparse.readthedocs.io/
Author: Xinyu Zhang, Ian Colbert, Srinjoy Das, Ken Kreutz-Delgado
Author-email: xiz368@eng.ucsd.edu
License: UNKNOWN
Download-URL: https://github.com/mlzxy/qsparse/tags
Description: # QSPARSE
        
        ![](docs/assets/coverage.svg)   [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE.txt)
        
        ## Installation
        
        QSPARSE can be installed from [PyPI](https://pypi.org/project/qsparse):
        
        ```bash
        pip install qsparse
        ```
        
        
        ## Usage
        
        Documentation can be accessed from [Read the Docs](https://qsparse.readthedocs.io/en/latest/).
        
        Examples of applying QSPARSE to different tasks are provided at [examples](https://github.com/mlzxy/qsparse/tree/main/examples) and [mdpi2022](https://github.com/mlzxy/mdpi2022).
Keywords: pytorch,quantization,pruning,model compression,neural network,machine learning
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
