EvoTorch is an evolutionary optimization framework built on top of PyTorch, developed by NNAISENSE. It is designed for large-scale optimization problems, particularly those that require evolutionary algorithms rather than gradient-based methods.

Features

  • Implements various evolutionary optimization algorithms like CMA-ES and NES
  • Designed for high-dimensional and complex optimization problems
  • Leverages PyTorch for seamless GPU acceleration
  • Supports distributed computing for scaling evolutionary training
  • Provides easy-to-use APIs for defining custom optimization problems
  • Suitable for neural architecture search, reinforcement learning, and black-box optimization

Project Samples

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Libraries

Registered

2025-03-13