Evolution Strategies
Showing 7 of 7 projects
A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.
A comprehensive, high-performance library implementing 30+ Evolution Strategies in JAX for scalable optimization on modern hardware.
A reinforcement learning library for Go providing agents, composable tooling, and visualization for solving environment challenges.
A decentralized hyperparameter optimization framework for Go, inspired by Optuna, supporting Bayesian optimization and evolution strategies.
A fast Evolution Strategy implementation in Python
A comprehensive Ruby gem providing atomic, flexible tools and frameworks for practical machine learning applications.
A comprehensive Ruby gem providing a collection of atomic machine learning tools and frameworks for practical applications.
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