Python library for CMA Evolution Strategy.

cma-es 开源项目推荐(108 个)
cma-es 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 108 个仓库A bare-bones Python library for quality diversity optimization.
Code for: Transforming and Projecting Images into Class-conditional Generative Networks
Parallel gradient-free optimization for Python: black-box, multi-objective and quality-diversity search.
Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)
Distributed implementation of popular evolutionary methods
Can LLMs beat classical HPO? A benchmark comparing classical, LLM-based, and hybrid methods on Karpathy's autoresearch.
Yarpiz Evolutionary Algorithms Toolbox for MATLAB
A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy functions over continuous domains.
(GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
Official implementation of paper "BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement".
Fugusashi — Federated Learning of LLM Routing with Human-Interpretable Decisions. Open-source alternative to Sakana AI Fugu.
Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
Modern PyTorch implementation of World Models with interactive notebooks for the Car Racing environment. Features VAE vision model, MDN-RNN memory system, and CMA-ES controller with visualization tools. Complete end-to-end reinforcement learning pipeline with clean, well-documented code.
Genetic algorithms and CMA-ES (covariance matrix adaptation evolution strategy) for efficient feature selection
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
CMA-ES in MATLAB
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation on C#
High-performance Echo State Network simulation, optimization and visualization in modern C++.
An introduction and explanation of the incredible CMA-ES optimization algorithm.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/cma-es。
- 该话题在 GitHub 上共有 108 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1713 Star,覆盖 8 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。