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Please follow the instructions on [environment setup](environment_setup.md) page (5 minutes read).\n* Once your env is ready, go ahead and start [ray_tune_micro_tutorial.ipynb](ray_tune_micro_tutorial.ipynb).\n\n# What to do next?\n* Check the [user guides](https://docs.ray.io/en/latest/tune/tutorials/overview.html) for more in-depth introduction to Tune.\n* Learn about [Distributed LightGBM on Ray](https://docs.ray.io/en/latest/ray-more-libs/lightgbm-ray.html) that enables multi-node and multi-GPU training.\n* Have a closer look at [Tune docs](https://docs.ray.io/en/latest/tune/index.html) to learn more about other [search algorithms](https://docs.ray.io/en/latest/tune/api_docs/suggestion.html) and [schedulers](https://docs.ray.io/en/latest/tune/api_docs/schedulers.html).\n* Go to the Ray tutorials page to \n\n# How to connect with community, learn more, join other trainings?\n* Feel free to reach out on [Ray-distributed Slack](https://ray-distributed.slack.com/archives/C011ML23W5B). Join `#tutorials` channel, say hello and ask questions.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkamil-kaczmarek%2Fray-tune-micro-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkamil-kaczmarek%2Fray-tune-micro-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkamil-kaczmarek%2Fray-tune-micro-tutorial/lists"}