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9 search results found

Pymoo ⭐ 1,886

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Python library for CMA Evolution Strategy.

A bare-bones Python library for quality diversity optimization.

Pix2latent ⭐ 149

Code for: Transforming and Projecting Images into Class-conditional Generative Networks

Chocolate ⭐ 101

A fully decentralized hyperparameter optimization framework

Const_layout ⭐ 99

Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)

Stochopy ⭐ 74

Python library for stochastic numerical optimization

Distributedes ⭐ 56

Distributed implementation of popular evolutionary methods

Cma Es_with_margin ⭐ 22

(GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization

(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems

Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"

Actmax Optimizer Dev ⭐ 8

The official repo for GECCO 2022 paper High-Performance Evolutionary Algorithms for Online Neuronal Control in vivo and in silico

Stochannpy ⭐ 7

StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic learning.

Car Racing Attention Agent ⭐ 5

Reproduce the results of "Neuroevolution of Self-Interpretable Agents" paper

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