1170 Open source projects that are alternatives of or similar to Scikit Opt

智能算法-遗传算法、蚁群算法、粒子群算法实现。实现版本Java,Python,MatLab多版本实现

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

A genetic algorithm implementation 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

sopt:A simple python optimization library

MoveIt kinematics_base plugin based on particle optimization & GA

🎯 A comprehensive gradient-free optimization framework written in Python

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

A fun study of some heuristics for the Travelling Salesman Problem.

Searching global optima with firefly algorithm and solving traveling salesmen problem with genetic algorithm

Link Discovery Framework for Metric Spaces.

Unsupervised ML algorithm for predictive modeling and time-series analysis

Visualisation of Simulated Annealing algorithm to solve TSP

JavaScript Digital Organisms simulator

Solving a TSP with the CPLEX C++ API.

Routing optimization module module for Itinero.

FMI-compliant Model Estimation in Python

Genetic Algorithm and Particle Swarm Optimization

High-performance metaheuristics for optimization coded purely in Julia.

Unified API for multiple optimizer engines

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

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

Awesome Artificial Intelligence Projects

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Generalized Data-free Universal Adversarial Perturbations

Some notebooks

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

Solving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search

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

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

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149

A metaheuristic optimization framework

A population based stochastic algorithm for finding the minimum value in a function.

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).

Modern Fortran Edition of the Pikaia Genetic Algorithm

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

A bare-bones Python library for quality diversity optimization.

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

Autonomous car simulator (based on JavaScript & WebGL) implemented by fuzzy control system, genetic algorithm and particle swarm optimization.

A simple machine learning framework written in Swift 🤖

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

OpenJij : Framework for the Ising model and QUBO.

Starter Bot for Codingame's Coders Strike Back AI Challenge (Simulation Engine + Random Search)

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

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Testbed for deep reinforcement learning

A full-featured editor for working with Utility-based AI

Jupyter/IPython notebooks about evolutionary computation.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

An abstraction layer for mathematical optimization solvers.

Autodifferentiation package in Rust.

A small, self-contained minesweeper solver written in Java