Learn how to design, develop, deploy and iterate on production-grade ML applications.
-
Updated
Jul 26, 2023 - Jupyter Notebook
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.
Caffe: a fast open framework for deep learning. Caffe-pslite: run deep learning in a cluster with ps-lite (including SSP model)
Akka-based framework for distributed ML on fog
Add a description, image, and links to the distributed-ml topic page so that developers can more easily learn about it.
To associate your repository with the distributed-ml topic, visit your repo's landing page and select "manage topics."