[D] Is anyone working on interesting ML libraries and looking for contributors?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • llrt

    Local Learning Rule Tensors neural network library (by bparkis)

  • See if https://github.com/bparkis/llrt interests you.

  • grouphug

    Multi-task modelling extensions for huggingface transformers

  • Recently released a package for multi-task modelling with huggingface, which could definitely use contributors.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • hamilton

    Discontinued A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton (by stitchfix)

  • Take a look at https://github.com/stitchfix/hamilton - we're after contributors who can help us grow the project, e.g. make documentation great, dog fooding features and suggesting/contributing usability improvements.

  • composer

    Supercharge Your Model Training (by mosaicml)

  • We're always looking for contributors for Composer. tl;dr it speeds up neural net training by a lot (e.g., 7x faster ResNet-50).

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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