Pagmo2A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Stars: ✭ 540 (+650%)
Applying eannsA 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
Stars: ✭ 1,093 (+1418.06%)
NEATESTNEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
Stars: ✭ 13 (-81.94%)
biteoptDerivative-Free Optimization Method for Global Optimization (C++)
Stars: ✭ 91 (+26.39%)
zoofszoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Stars: ✭ 142 (+97.22%)
GARIGARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
Stars: ✭ 41 (-43.06%)
datafsmMachine Learning Finite State Machine Models from Data with Genetic Algorithms
Stars: ✭ 14 (-80.56%)
WatchmakerThe Watchmaker Framework for Evolutionary Computation
Stars: ✭ 189 (+162.5%)
triangulaGenerate high-quality triangulated and polygonal art from images.
Stars: ✭ 3,775 (+5143.06%)
JeneticsJenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization
Stars: ✭ 616 (+755.56%)
evoliGenetic Algorithm and Particle Swarm Optimization
Stars: ✭ 22 (-69.44%)
Eaopt🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Stars: ✭ 718 (+897.22%)
neuroevolution-robotsNeuroevolution demo through TensorFlow.js, Neataptic, and Box2D
Stars: ✭ 31 (-56.94%)
Evolutionary.jlEvolutionary & genetic algorithms for Julia
Stars: ✭ 142 (+97.22%)
opt4jModular Java framework for meta-heuristic optimization
Stars: ✭ 25 (-65.28%)
GeneticalgorithmpythonSource code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Stars: ✭ 435 (+504.17%)
BluepyoptBlue Brain Python Optimisation Library
Stars: ✭ 143 (+98.61%)
EvOLuTIoNA simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes
Stars: ✭ 44 (-38.89%)
Circle EvolutionEvolutionary Art Using Circles in Python
Stars: ✭ 237 (+229.17%)
TorchGATrain PyTorch Models using the Genetic Algorithm with PyGAD
Stars: ✭ 47 (-34.72%)
gogaGo 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).
Stars: ✭ 39 (-45.83%)
geneticalgorithm2Supported highly optimized and flexible genetic algorithm package for python
Stars: ✭ 36 (-50%)
GeneticsJSEvolutionary algorithms library for the web 🧬
Stars: ✭ 25 (-65.28%)
tiny gpTiny Genetic Programming in Python
Stars: ✭ 58 (-19.44%)
Gpdotnetv4C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.
Stars: ✭ 19 (-73.61%)
Nsganetv2[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Stars: ✭ 52 (-27.78%)
ConstructJavaScript Digital Organisms simulator
Stars: ✭ 17 (-76.39%)
AlfaAutomated Line Fitting Algorithm
Stars: ✭ 6 (-91.67%)
Cgp CnnA Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
Stars: ✭ 59 (-18.06%)
Influx Crypto TraderNode js trading bot, let you create trading strategy and run it (backtest/simulation/live)
Stars: ✭ 49 (-31.94%)
GeneticsharpGeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
Stars: ✭ 813 (+1029.17%)
Agario AiNeural agents learn to play in an agario-like environment with Neataptic
Stars: ✭ 46 (-36.11%)
InvaderzSpace invaders, but the invaders evolve with genetic algorithm
Stars: ✭ 686 (+852.78%)
Super Mario NeatThis program evolves an AI using the NEAT algorithm to play Super Mario Bros.
Stars: ✭ 64 (-11.11%)
GendisContains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
Stars: ✭ 59 (-18.06%)
Neataptic🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js
Stars: ✭ 1,027 (+1326.39%)
GaftA Genetic Algorithm Framework in Python
Stars: ✭ 651 (+804.17%)
Nsga2 MatlabA very fast, 90% vectorized, NSGA-II algorithm in matlab.
Stars: ✭ 40 (-44.44%)
SmileStatistical Machine Intelligence & Learning Engine
Stars: ✭ 5,412 (+7416.67%)
PymooNSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Stars: ✭ 547 (+659.72%)
BoleroBehavior Optimization and Learning for Robots
Stars: ✭ 39 (-45.83%)
Solid🎯 A comprehensive gradient-free optimization framework written in Python
Stars: ✭ 546 (+658.33%)
PyribsA bare-bones Python library for quality diversity optimization.
Stars: ✭ 66 (-8.33%)
MgoPurely functional genetic algorithms for multi-objective optimisation
Stars: ✭ 63 (-12.5%)
Dissecting Reinforcement LearningPython code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Stars: ✭ 512 (+611.11%)
GeatpyEvolutionary algorithm toolbox and framework with high performance for Python
Stars: ✭ 990 (+1275%)
GapsA Genetic Algorithm-Based Solver for Jigsaw Puzzles 🌀
Stars: ✭ 474 (+558.33%)
Tsp GaA Genetic Algorithm in Python for the Travelling Salesman Problem
Stars: ✭ 33 (-54.17%)
PlatemoEvolutionary multi-objective optimization platform
Stars: ✭ 454 (+530.56%)
OptimOptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Stars: ✭ 411 (+470.83%)
Genannsimple neural network library in ANSI C
Stars: ✭ 1,088 (+1411.11%)
Csb Ai StarterStarter Bot for Codingame's Coders Strike Back AI Challenge (Simulation Engine + Random Search)
Stars: ✭ 32 (-55.56%)