ray/doc/source/ray-air/examples/index.rst

.. _air-examples-ref:

========
Examples
========


Framework-specific Examples
---------------------------

- :doc:`/ray-air/examples/lightgbm_example`: Distributed training with LightGBM
- :doc:`/ray-air/examples/xgboost_example`: Distributed training with XGBoost
- :doc:`/ray-air/examples/sklearn_example`: Integrating with Scikit-Learn (non-distributed)
- :doc:`/ray-air/examples/convert_existing_pytorch_code_to_ray_air`: How to get started with Ray AIR from your code base


Tabular Data
------------
- :doc:`/ray-air/examples/tfx_tabular_train_to_serve`: How to use Ray AIR to train a Keras model on tabular data and serve it.

Text/NLP
--------

- :doc:`/ray-air/examples/huggingface_text_classification`: How to use Ray AIR to run Hugging Face Transformers fine-tuning on a text classification task.

Image/CV
--------

- :doc:`/ray-air/examples/torch_image_example`

Logging & Observability
-----------------------

- :doc:`/ray-air/examples/upload_to_comet_ml`: How to log results and upload models to Comet ML.
- :doc:`/ray-air/examples/upload_to_wandb`: How to log results and upload models to Weights and Biases.

.. _air-rl-examples-ref:

RL (RLlib)
----------

- :doc:`/ray-air/examples/rl_serving_example`
- :doc:`/ray-air/examples/rl_online_example`
- :doc:`/ray-air/examples/rl_offline_example`


Advanced
--------

- :doc:`/ray-air/examples/torch_incremental_learning`: Incrementally train and deploy a PyTorch CV model
- :doc:`/ray-air/examples/feast_example`: Integrate with Feast feature store in both train and inference