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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
Categories
Reinforcement Learning LibrariesLicense
Apache License V2.0Follow EvoTorch
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