GitHub topics: cmaes

Repositories

anyoptimization/pymoo

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

Language: Python - Size: 17.8 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 2,532 - Forks: 423

keurfonluu/stochopy

Python library for stochastic numerical optimization

Language: Python - Size: 2.32 MB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 96 - Forks: 15

keurfonluu/StochANNPy

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

Language: Python - Size: 169 KB - Last synced at: 28 days ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 4

mlojek/optilab

Python framework for black-box optimization.

Language: Python - Size: 366 KB - Last synced at: 11 minutes ago - Pushed at: about 1 hour ago - Stars: 1 - Forks: 0

dmosopt/dmosopt

Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems

Language: Python - Size: 1.06 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 4

wildart/Evolutionary.jl

Evolutionary & genetic algorithms for Julia

Language: Julia - Size: 1.6 MB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 339 - Forks: 59

zuoxingdong/lagom

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

Language: Jupyter Notebook - Size: 95.9 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 375 - Forks: 30

AIworx-Labs/chocolate

A fully decentralized hyperparameter optimization framework

Language: Python - Size: 2.33 MB - Last synced at: 16 days ago - Pushed at: 11 months ago - Stars: 123 - Forks: 41

nAuTahn/EAs-from-the-papers

Evolutionary algorithms from the papers

Size: 131 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

tcmxx/UnityTensorflowKeras

Unity In Editor Deep Learning Tools. Using KerasSharp, TensorflowSharp, Unity MLAgent. In-Editor training and no python needed.

Language: C# - Size: 38.7 MB - Last synced at: 28 days ago - Pushed at: over 5 years ago - Stars: 53 - Forks: 15

suleimanelkhoury/ec-scheduler

Three implemented evolutionary strategies using DEAP to optimize energy scheduling tasks.

Language: Python - Size: 45.9 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

tp5uiuc/soft_systems_course

Course on computational design, non-linear optimization, and dynamics of soft systems at UIUC.

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 3

taslater/tippy-project

Website with interactive client-side CMA-ES (blackbox optimizer) demos. Reinforcement-learning demos allow users to control RL-trained robots.

Language: JavaScript - Size: 64.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

wagenaartje/formation-assembly

All code for the results and figures shown in the report for the course AE4350.

Language: Python - Size: 2.01 GB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

shashankkotyan/DualQualityAssessment

This github repository contains the official code for the papers, "Robustness Assessment for Adversarial Machine Learning: Problems, Solutions and a Survey of Current Neural Networks and Defenses" and "One Pixel Attack for Fooling Deep Neural Networks"

Language: Python - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0