THE RAY TEAM

Updated 618 days ago
  • ID: 37772300/35
If Tune helps you in your academic research, you are encouraged to cite our paper... With Tune you can also launch a multi-node distributed hyperparameter sweep in less than 10 lines of code. It automatically manages checkpoints and logging to TensorBoard. And you can move your models from training to serving on the same infrastructure with Ray Serve... A key problem with many hyperparameter optimization frameworks is the need to restructure your code to fit the framework. With Tune, you can optimize your model just by adding a few code snippets.
Also known as: tune
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tune.io

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docs.ray.io

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