https://github.com/axonn-ai/axonn

A parallel framework for training deep neural networks
https://github.com/axonn-ai/axonn

deep-learning machine-learning neural-networks parallel-computing

Last synced: about 1 year ago
JSON representation

A parallel framework for training deep neural networks

• Host: GitHub
• URL: https://github.com/axonn-ai/axonn
• Owner: axonn-ai
• License: apache-2.0
• Created: 2021-06-01T20:04:27.000Z (about 5 years ago)
• Default Branch: develop
• Last Pushed: 2024-04-14T02:21:20.000Z (about 2 years ago)
• Last Synced: 2024-04-14T11:19:56.158Z (about 2 years ago)
• Topics: deep-learning, machine-learning, neural-networks, parallel-computing
• Language: Python
• Homepage: https://axonn.readthedocs.io
• Size: 24.5 MB
• Stars: 29
• Watchers: 4
• Forks: 4
• Open Issues: 15
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
#  AxoNN

[![nvidia-rtx-3090-tests](https://github.com/axonn-ai/axonn/actions/workflows/ci.yaml/badge.svg)](https://github.com/axonn-ai/axonn/actions/workflows/ci.yaml)

[![docs](https://readthedocs.org/projects/axonn/badge/?version=latest)](https://axonn.readthedocs.io/en/latest/?badge=latest)

[![Code Style: Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![Join slack](https://img.shields.io/badge/slack-axonn--users-blue)](https://join.slack.com/t/axonn-users/shared_invite/zt-2itbahk29-_Ig1JasFxnuVyfMtcC4GnA)

AxoNN is a parallel framework for training deep neural networks. 

### Installation 

Prior to the installation, [PyTorch](https://pytorch.org/get-started/locally/) must already be installed.  

```bash

pip install axonn

```

### Contributing

AxoNN is an open source project. We welcome contributions via pull requests,

and questions, feature requests, or bug reports via issues.

### Citing AxoNN

If you are referencing AxoNN in a publication, please cite the

following [paper](https://pssg.cs.umd.edu/assets/papers/2022-05-axonn-ipdps.pdf):

 * Siddharth Singh, Abhinav Bhatele. AxoNN: An asynchronous, message-driven

   parallel framework for extreme-scale deep learning In Proceedings of the

   IEEE International Parallel & Distributed Processing Symposium (IPDPS '22).

   IEEE Computer Society, May 2022.

### License

AxoNN is distributed under the terms of the Apache License (Version 2.0) with

LLVM Exceptions.

All contributions must be made under the Apache License (Version 2.0) with

LLVM Exceptions.

See [LICENSE](https://github.com/pssg-int/axonn/blob/develop/LICENSE) for

details.

SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception