Top 71 evolutionary-algorithms open source projects

Evolutionary Art Using Circles in Python

A fast Evolution Strategy implementation in Python

The Watchmaker Framework for Evolutionary Computation

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Jupyter/IPython notebooks about evolutionary computation.

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

A tool for automatically generating system-level test cases. Currently targeting REST APIs.

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Blue Brain Python Optimisation Library

Evolution Simulator with Box2D

Evolutionary & genetic algorithms for Julia

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Yet another black-box optimization library for Python

Musical Novelty Search: Evolutionary Algorithms + Ableton Live

Evolutionary Algorithms Framework

A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)

A bare-bones Python library for quality diversity optimization.

Solve multi-objective optimization problems with distributed evolutionary algorithms

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

A 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.

Distributed implementation of popular evolutionary methods

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

A very fast, 90% vectorized, NSGA-II algorithm in matlab.

Behavior Optimization and Learning for Robots

Evolutionary algorithm toolbox and framework with high performance for Python

🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Evolutionary multi-objective optimization platform

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

Automated modeling and machine learning framework FEDOT

Tiny Genetic Programming in Python

Search the best feature subset for you classification mode

Toolbox for the generative design of geometrically-encoded physical objects using numerical modelling and evolutionary optimization

用神经网络来训练个能自己玩chrome断线时的那个小恐龙的AI

Evolutionary algorithms library for the web 🧬

Genetic Algorithm and Particle Swarm Optimization

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).

Train PyTorch Models using the Genetic Algorithm with PyGAD

A multi-purpose extensible self-adaptive evolutionary tool

A collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)

zoofs 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.

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

Python Control System : Create control loops and let the AI set the PID parameters

A framework for Big Data Optimization with multi-objective metaheuristics

Spare material for Computational Intelligence 01URROV @ Politecnico di Torino

Vita - Genetic Programming Framework

GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

Supported highly optimized and flexible genetic algorithm package for python

Derivative-Free Optimization Method for Global Optimization (C++)

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

A neuromechanical model of adult Drosophila melanogaster.

Modular Java framework for meta-heuristic optimization

Generate high-quality triangulated and polygonal art from images.

A simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes

Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture