Popular GitHub Repositories for Distributed Ml

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command

Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.

??? Everything you need in order to get started building distributed machine learning with Apple's MLX