Starter ML project that allows you to develop on your Mac or PC computer and train using your remote GPU server
Project description
Allows you to quickly configure your machine-learning project to use Ray for distributed training and tuning of your ML models on a GPU-enabled remote computer.
Setup
- Create a YAML configuration file named
ray_config.yamlin the root directory of your project. - Ray QuickStart expects a configuration file named
ray_config.yamlto be present in the root directory of your project.
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