Metadata-Version: 2.1
Name: deep500
Version: 0.2.0
Summary: The deep learning metaframework
Home-page: https://github.com/deep500/deep500
Author: SPCL @ ETH Zurich
Author-email: talbn@inf.ethz.ch
License: UNKNOWN
Description: Deep500: A Deep Learning Meta-Framework and HPC Benchmarking Library
        ====================================================================
        
        <p align="center">
        	<img src="https://raw.githubusercontent.com/deep500/deep500/master/d500.png" /><br />
            (or: 500 ways to train deep neural networks)
        </p>
        
        
        Deep500 is a library that can be used to customize and measure anything with deep neural networks, using a clean, high-performant, and simple interface. Deep500 includes four levels of abstraction: (L0) Operators (layers); (L1) Network Evaluation; (L2) Training; and (L3) Distributed Training.
        
        Using Deep500, you automatically gain:
        * Operator validation, including gradient checking for backpropagation
        * Statistically-accurate performance benchmarks and plots
        * High-performance integration with popular deep learning frameworks (see Supported Frameworks below)
        * Running your operator/framework/optimizer/communicator/... with real workloads, alongside existing environments
        * and much more...
        
        ## Installation
        
        Using pip: `pip install deep500`
        
        ## Usage
        
        See the [tutorials](https://github.com/deep500/deep500/tree/master/tutorials).
        
        ## Requirements
         * Python 3.5 or later
         * Protobuf (`sudo apt-get install protobuf-compiler libprotoc-dev`)
         * For plotted metrics: matplotlib
         * For distributed optimization:
             * Any MPI implementation (OpenMPI, MPICH, MVAPICH etc.)
             * mpi4py Python package
        
        ## Supported Frameworks
         * Tensorflow
         * Pytorch
         * Caffe2
        
        ## Contributing
        
        Deep500 is an open-source, community driven project. We are happy to accept Pull Requests with your contributions!
         
        ## License
        
        Deep500 is published under the New BSD license, see [LICENSE](https://github.com/deep500/deep500/blob/master/LICENSE).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
