220 Open source projects that are alternatives of or similar to Watchmaker

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

Jupyter/IPython notebooks about evolutionary computation.

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

Search the best feature subset for you classification mode

Train PyTorch Models using the Genetic Algorithm with PyGAD

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

Generate high-quality triangulated and polygonal art from images.

Supported highly optimized and flexible genetic algorithm package for python

Modular Java framework for meta-heuristic optimization

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

Evolutionary & genetic algorithms for Julia

Blue Brain Python Optimisation Library

Evolution Simulator with Box2D

Genetic Algorithm and Particle Swarm Optimization

Evolutionary algorithms library for the web 🧬

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Evolutionary Art Using Circles in Python

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.

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

Finding an optimal Blackjack strategy using AI

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

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.

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

Tiny Genetic Programming in Python

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

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).

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

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

Symbolic regression solver, based on genetic programming methodology.

Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)

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

An AIMGP (Automatic Induction of Machine code by Genetic Programming) engine

Time Table generation using Genetic Algorithms ( Java-Struts2)

genetic algorithm for self-referential image approximation.

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

Rubik's cube API in Swift + a genetic solver algorithm

Classic 8 Ball pool game written in JavaScript

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

Musical Novelty Search: Evolutionary Algorithms + Ableton Live

遗传算法 - Matlab

Evolutionary Algorithms Framework

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

An interesting display of evolution through neural networks and a genetic algorithm

This repository contains path planning algorithms in C++ for a grid based search.

A bare-bones Python library for quality diversity optimization.

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Radiate is a parallel genetic programming engine capable of evolving solutions to many problems as well as training learning algorithms.

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).

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

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

A 2D/3D visualization of the Traveling Salesman Problem main heuristics

Purely functional genetic algorithms for multi-objective optimisation

Solved using AI techniques: Savings, Sweep, Genetic Algorithm, Google OR Tools

Evolving squids through neuroevolution

Solve multi-objective optimization problems with distributed evolutionary algorithms

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

Feature Selection using Genetic Algorithm (DEAP Framework)