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Travis Addair

Travis Addair
2 BLOG ARTICLES 0 RESEARCH PAPERS
Travis is a software engineer at Uber AI leading the Deep Learning Training team as part of the Michelangelo AI platform. He leads the Horovod open source project and chairs its Technical Steering Committee within the Linux Foundation.

Engineering Blog Articles

Horovod v0.21: Optimizing Network Utilization with Local Gradient Aggregation and Grouped Allreduce

We originally open-sourced Horovod in 2017, and since then it has grown to become the standard solution in industry for scaling deep learning training to hundreds of GPUs.  With Horovod, you can reduce training times from days or weeks to

Ludwig v0.3 Introduces Hyperparameter Optimization, Transformers and TensorFlow 2 support

In February 2019, Uber released Ludwig, an open source, code-free deep learning (DL) toolbox that gives non-programmers and advanced machine learning (ML) practitioners alike the power to develop models for a variety of DL tasks. With use cases spanning text

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