DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

billion-parameters compression data-parallelism deep-learning gpu inference machine-learning mixture-of-experts model-parallelism pipeline-parallelism pytorch trillion-parameters zero

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Jeff Rasley dd1754fb3a add deepspeed launcher		2020-01-31 16:56:36 -08:00
bin	add deepspeed exec and dataloader	2020-01-31 16:53:59 -08:00
deepspeed	add deepspeed launcher	2020-01-31 16:56:36 -08:00
.gitignore	add gitignore	2020-01-31 16:06:44 -08:00
CODE_OF_CONDUCT.md	Initial CODE_OF_CONDUCT.md commit	2020-01-23 15:23:15 -08:00
LICENSE	Initial LICENSE commit	2020-01-23 15:23:17 -08:00
README.md	Updating README.md to template content	2020-01-23 15:23:16 -08:00
SECURITY.md	Initial SECURITY.md commit	2020-01-23 15:23:21 -08:00
install.sh	Install script	2020-01-31 16:03:36 -08:00
setup.py	Initial commit of setup	2020-01-31 15:57:11 -08:00

README.md

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.