Alternatives and similar repositories for CMA-ES

Users that are interested in CMA-ES are comparing it to the libraries listed below

• dietmarwo / fast-cma-es
  A Python 3 gradient-free optimization library
  ☆153Updated 4 months ago
• CyberAgentAILab / cmaes
  Python library for CMA Evolution Strategy.
  ☆471Updated last month
• OUStudent / EvolutionaryComputation
  ☆19Updated 4 years ago
• icaros-usc / pyribs
  A bare-bones Python library for quality diversity optimization.
  ☆249Updated 3 weeks ago
• Evolutionary-Intelligence / pypop
  [JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm varian…
  ☆273Updated 2 weeks ago
• EvoConJP / CMA-ES_with_Margin
  (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
  ☆33Updated last year
• quality-diversity / quality-diversity.github.io
  Website for Quality-Diversity optimisation algorithms
  ☆49Updated 3 weeks ago
• rasmusbergpalm / evostrat
  A library that makes Evolutionary Strategies (ES) simple to use.
  ☆180Updated 4 years ago
• srom / cma-es
  Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
  ☆74Updated 4 years ago
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆66Updated 2 years ago
• jbmouret / map_elites_tutorial
  Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
  ☆23Updated 3 years ago
• google / deluca
  Performant, differentiable reinforcement learning
  ☆125Updated 5 months ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆80Updated 3 years ago
• RobertTLange / evosax
  Evolution Strategies in JAX 🦎
  ☆713Updated 3 months ago
• FelixOpolka / Single-Player-MCTS
  🌳 Python implementation of single-player Monte-Carlo Tree Search.
  ☆66Updated 4 years ago
• nathanrooy / landscapes
  A dependency free library of standardized optimization test functions written in pure Python.
  ☆62Updated 3 weeks ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆42Updated 2 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆96Updated 2 years ago
• simon-larsson / ballbeam-gym
  Ball & beam OpenAI gym environments
  ☆15Updated 5 years ago
• coax-dev / coax
  Modular framework for Reinforcement Learning in python
  ☆181Updated 2 years ago
• VicentePerezSoloviev / EDAspy
  Estimation of Distribution algorithms Python package
  ☆42Updated last year
• FarnazAdib / Crash_course_on_RL
  This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
  ☆83Updated last year
• andriusbern / stadium
  A graphical interface for reinforcement learning and gym-based environments.
  ☆37Updated 2 years ago
• adaptive-intelligent-robotics / QDax
  Accelerated Quality-Diversity
  ☆334Updated 2 months ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆56Updated 4 years ago
• optimization-toolbox / DNE4py
  DNE4py is a python library that aims to run and visualize many different evolutionary algorithms with high performance using mpi4py. It a…
  ☆10Updated 5 years ago
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆87Updated 2 years ago
• quadprog / quadprog
  Quadratic Programming Solver
  ☆215Updated last year
• Alro10 / awesome-deep-neuroevolution
  A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
  ☆225Updated 4 years ago