Graduate | Horovod, a distributed training framework for TensorFlow, Keras and PyTorch, improves speed, scale and resource allocation in machine learning training activities. Uber uses Horovod for self-driving vehicles, fraud detection, and trip forecasting. It is also being used by Alibaba, Amazon and NVIDIA. Contributors to the project outside Uber include Amazon, IBM, Intel and NVIDIA. GitHub: https://github.com/horovod/horovod |
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- Website
- Github
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- Wiki
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- Project Lead: Travis Addair, taddair@uber.com
- LF AI Technical Advisory Council (TAC) Sponsor: Ibrahim Haddad, ibrahim@linuxfoundation.org (temporary)
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