evolutionary-algorithm
There are 423 repositories under evolutionary-algorithm topic.
rhiever/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
MorvanZhou/Evolutionary-Algorithm
Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
facebookexperimental/Robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
trekhleb/self-parking-car-evolution
🧬 Training the car to do self-parking using a genetic algorithm
victorqribeiro/invaderz
Space invaders, but the invaders evolve with genetic algorithm
100/Solid
🎯 A comprehensive gradient-free optimization framework written in Python
KaHIP/KaHIP
KaHIP -- Karlsruhe HIGH Quality Partitioning.
colgreen/sharpneat
SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.
rhiever/optimal-roadtrip-usa
Contains maps for the article, "Computing the optimal road trip across the U.S." and similar articles
olmallet81/GALGO-2.0
Genetic Algorithm in C++ with template metaprogramming and abstraction for constrained optimization
ShuhuaGao/geppy
A framework for gene expression programming (an evolutionary algorithm) in Python
TAMS-Group/bio_ik
MoveIt kinematics_base plugin based on particle optimization & GA
godatadriven/evol
a python grammar for evolutionary algorithms and heuristics
sferes2/sferes2
A lightweight, generic C++11 framework for evolutionary computation
soypat/mu8
Genetic algorithm for unsupervised machine learning in Go.
csxeba/brainforge
A Neural Networking library based on NumPy only
renatoosousa/GeneticAlgorithmForFeatureSelection
Search the best feature subset for you classification mode
moshesipper/tiny_gp
Tiny Genetic Programming in Python
nojhan/paradiseo
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
keurfonluu/stochopy
Python library for stochastic numerical optimization
opendilab/DIgging
Decision Intelligence for digging best parameters in target environment.
sg-nm/cgp-cnn
A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
mbelmadani/moead-py
A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)
sg-nm/Evolutionary-Autoencoders
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018)
PerdonLiu/CSE-Autoloss
Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
ccssmnn/hego
Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...
albert-espin/knapsack-packing
Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)
sg-nm/cgp-cnn-PyTorch
A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
cpmech/goga
Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).
mattruzicka/evolvable
An evolutionary computation framework
jakobbossek/ecr2
ecr: Evolutionary Computation in R (version 2)
VicentePerezSoloviev/EDAspy
Estimation of Distribution algorithms Python package
xtalopt/XtalOpt
Official public repository for the XtalOpt crystallographic multi-objective evolutionary algorithm
tonykero/Moe
[OLD] Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms
bzantium/EA-LSTM
EA-LSTM: Evolutionary attention-based LSTM for time series prediction
moshesipper/Applied-Machine-Learning-Course
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.