mirror of
https://github.com/vale981/ray
synced 2025-03-07 02:51:39 -05:00
51 lines
1.5 KiB
ReStructuredText
51 lines
1.5 KiB
ReStructuredText
.. _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 LightGBM
|
|
- :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
|