Learn how to design, develop, deploy and iterate on production-grade ML applications.
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Updated
Dec 7, 2023 - Jupyter Notebook
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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Nerlnet is a distributed machine learning platform for experiments and IoT deployment.
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
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