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# Project
# Machine Learning at Scale Workshop
> This repo has been populated by an initial template to help get you started. Please
> make sure to update the content to build a great experience for community-building.
# Contents
## Train
- PyTorch Distributed Training
- LightGBM with Dask
- FLAML AutoML with Ray
- HyperBand with NNI
|scenario |description|
|---------|-----------|
|[pytorch-data-parallel]()||
|[lightgbm-distributed-with-dask]()||
|[flaml-automl-with-ray]()||
|[hyperband-with-nni]()||
## Inference
coming soon
As the maintainer of this project, please make a few updates:
- Improving this README.MD file to provide a great experience
- Updating SUPPORT.MD with content about this project's support experience
- Understanding the security reporting process in SECURITY.MD
- Remove this section from the README
## Contributing

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# TODO: The maintainer of this repo has not yet edited this file
**REPO OWNER**: Do you want Customer Service & Support (CSS) support for this product/project?
- **No CSS support:** Fill out this template with information about how to file issues and get help.
- **Yes CSS support:** Fill out an intake form at [aka.ms/spot](https://aka.ms/spot). CSS will work with/help you to determine next steps. More details also available at [aka.ms/onboardsupport](https://aka.ms/onboardsupport).
- **Not sure?** Fill out a SPOT intake as though the answer were "Yes". CSS will help you decide.
*Then remove this first heading from this SUPPORT.MD file before publishing your repo.*
# Support
## How to file issues and get help