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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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