Distributed Machine Learning¶
Description |
Training of machine learning models across multiple servers and/or GPUs. |
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Projects |
3 |
Lines Committed vs. Age Chart (click to view) |
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Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
4.25 |
1.75 |
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray |
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6.0 |
4.75 |
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. |
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9.0 |
8.75 |
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. |