Ray
Open-source framework for scaling Python AI and ML workloads
Category: Coding · Type: Distributed Computing · Pricing: Free · Student-friendly
Key features of Ray
- Parallel execution
- Ray Tune
- Ray Serve
- Distributed training
Best for: Writing and completing code faster, Debugging and fixing errors, Learning new programming languages, Reviewing and refactoring code, Generating boilerplate and project scaffolding.
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