Python library for CMA Evolution Strategy.
hyperparameter-optimization black-box-optimization evolution-strategy evolution-strategies cma-es optuna
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- Python
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cma-es
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A bare-bones Python library for quality diversity optimization.
python deep-learning optimization openai-gym artificial-intelligence evolutionary-algorithms evolutionary-computation quality-diversity cma-es map-elites llms
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- Python
Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)
pytorch generative-adversarial-network pretrained-models cma-es latent-space augmented-lagrangian-method layoutgan
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- Python
Distributed implementation of popular evolutionary methods
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- Python
Yarpiz Evolutionary Algorithms Toolbox for MATLAB
optimization genetic-algorithm simulated-annealing ant-colony-optimization differential-evolution evolutionary-computation optimization-algorithms particle-swarm-optimization firefly-algorithm metaheuristics harmony-search evolution-strategies artificial-bee-colony bees-algorithm cma-es imperialistic-competitive-algorithm tlbo covariance-matrix-adaptation biogeography-based-optimization invasive-weed-optimization
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- HTML
A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy functions over continuous domains.
optimization evolutionary-algorithm evolutionary-strategy stochastic-optimization derivative-free blackbox-optimization cma-es derivative-free-optimization
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- Julia
(GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
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- Python
Official implementation of paper "BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement".
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- Python
Can LLMs beat classical HPO? A benchmark comparing classical, LLM-based, and hybrid methods on Karpathy's autoresearch.
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- Python
Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
deep-learning optimization openai-gym artificial-intelligence evolutionary-algorithms evolutionary-computation quality-diversity cma-es map-elites
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- Python
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
black-box-optimization evolution-strategy evolution-strategies natural-gradients cma-es natural-evolution-strategies
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- Python
Genetic algorithms and CMA-ES (covariance matrix adaptation evolution strategy) for efficient feature selection
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- Jupyter Notebook
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation on C#
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- C#
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.
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- Jupyter Notebook
High-performance Echo State Network simulation, optimization and visualization in modern C++.
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- C++
Deep learning and evolutionary algorithms for identification of aerodynamic parameters
deep-learning lstm gru rnn evolutionary-algorithms system-identification aerodynamics dynamic-modelling cma-es
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- Python
Reproduce the results of "Neuroevolution of Self-Interpretable Agents" paper
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- Python
[TMLR'26] PriSM: Prior-Guided Search Methods for Query Efficient Black-Box Adversarial Attacks
machine-learning thesis genetic-algorithm evolutionary-algorithms publication saliency-map robustness adversarial-machine-learning adversarial-examples cma-es adversarial-attacks bsc-thesis adversarial-robustness square-attack transfer-based-attacks tmlr machine-learning-robustness tmlr-2026
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- Python
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