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

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

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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'.

Implement end-to-end image classification machine learning system in a distributed way

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

This repo includes an end-to-end implementation of a production ML app(detecting emotions using text) with a distributed ML framework, Ray