Python library for CMA Evolution Strategy.
A bare-bones Python library for quality diversity optimization.
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
(GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy functions over continuous domains.
Official implementation of paper "BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement".
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.
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
Genetic algorithms and CMA-ES (covariance matrix adaptation evolution strategy) for efficient feature selection
CMA-ES in MATLAB
Fugusashi — Federated Learning of LLM Routing with Human-Interpretable Decisions. Open-source alternative to Sakana AI Fugu.
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation on C#
High-performance Echo State Network simulation, optimization and visualization in modern C++.
Deep learning and evolutionary algorithms for identification of aerodynamic parameters
An introduction and explanation of the incredible CMA-ES optimization algorithm.
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