Python library for CMA Evolution Strategy.
A bare-bones Python library for quality diversity optimization.
Yarpiz Evolutionary Algorithms Toolbox for MATLAB
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
Genetic algorithms and CMA-ES (covariance matrix adaptation evolution strategy) for efficient feature selection
Official implementation of paper "BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement".
Deep learning and evolutionary algorithms for identification of aerodynamic parameters
CMA-ES in MATLAB
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation on C#
A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy functions over continuous domains.
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
Machine Learning Attack on Majority Based Arbiter Physical Unclonable Functions (PUFs)
Convert images into low poly, using an optimizer
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.
Reproduce the results of "Neuroevolution of Self-Interpretable Agents" paper
(GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
High-performance Echo State Network simulation, optimization and visualization in modern C++.
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