Skip to content

SJTU-HPC/training_results_v2.0

 
 

Repository files navigation

Contributing

The best way to contribute to the MLCommons is to get involved with one of our many project communities. You find more information about getting involved with MLCommons here.

Generally we encourage people to become a MLCommons member if they wish to contribute to MLCommons projects, but outside pull requests are very welcome too.

Regardless of if you are a member, your organization needs to sign the MLCommons CLA. Please fill out this CLA sign up form form to get started.

MLCommons project work is tracked with issue trackers and pull requests. Modify the project in your own fork and issue a pull request once you want other developers to take a look at what you have done and discuss the proposed changes. Ensure that cla-bot and other checks pass for your Pull requests.

About

MLPerf™ Training v2.0 results

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 35.8%
  • Python 34.6%
  • Jupyter Notebook 19.2%
  • Shell 3.8%
  • Cuda 2.5%
  • TypeScript 0.7%
  • Other 3.4%