Ray 3.0.0.dev0

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    • Getting Started
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      • Examples using Ray Tune with ML Frameworks
        • Scikit-Learn Example
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        • PyTorch Example
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        • XGBoost Example
        • LightGBM Example
        • Horovod Example
        • Hugging Face Transformers Example
      • Tune Experiment Tracking Examples
      • Tune Hyperparameter Optimization Framework Examples
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    • Ray Tune FAQ
    • Ray Tune API
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Examples using Ray Tune with ML Frameworks

Examples using Ray Tune with ML Frameworks#

Ray Tune integrates with many popular machine learning frameworks. Here you find a few practical examples showing you how to tune your models. At the end of these guides you will often find links to even more examples.

How To Use Tune’s Scikit-Learn Adapters?

How To Use Tune With Keras & TF Models

How To Use Tune With PyTorch Models

How To Tune PyTorch Lightning Models

Model Selection & Serving With Ray Serve

Tuning RL Experiments With Ray Tune & Ray Serve

A Guide To Tuning XGBoost Parameters With Tune

A Guide To Tuning LightGBM Parameters With Tune

A Guide To Tuning Horovod Parameters With Tune

A Guide To Tuning Huggingface Transformers With Tune

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Ray Tune Examples

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Tune’s Scikit Learn Adapters

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