116 Open source projects that are alternatives of or similar to rBAS

A SciPy compatible super fast Python implementation for Particle Swarm Optimization.

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Generalized and Efficient Blackbox Optimization System [SIGKDD'21].

Library for Multi-objective optimization in Gradient Boosted Trees

Generalized and Efficient Blackbox Optimization System.

The standard and parallel multiobjective EGO algorithms

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MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

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sopt:A simple python optimization library

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.

Modular Java framework for meta-heuristic optimization

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🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering

OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.

A JavaScript library to allocate and optimize financial portfolios.

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

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A metaheuristic optimization framework

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

A Universal Deep Reinforcement Learning Framework

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

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Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Tensorflow implementation of preconditioned stochastic gradient descent

Iterated Racing for Automatic Algorithm Configuration

Python constraint programming library

My workshop on machine learning using python language to implement different algorithms

Making your benchmark of optimization algorithms simple and open

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

PyTorch implementations of recent optimization algorithms for deep learning.

A genetic algorithm implementation in python

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

A curated list of awesome multi-objective optimization research resources.

Solver of multiobjective linear optimization problems (MOMIP, MOLP, MOIP, MOCO): generic part

Toy implementations of some popular ML optimizers using Python/JAX

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

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

Global optimization algorithms written in C++

Supported highly optimized and flexible genetic algorithm package for python

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

"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.

A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#

An implementation of the paper "A Short Introduction to Boosting"

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Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization including Travelling Salesman, Minimum Spanning Tree and so on.

A Python Library for modeling combinatorial constrained problems

Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

Python library for Bayesian hyper-parameters optimization

A toolkit for testing control and planning algorithm for car racing.

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

MATLAB Tool for Multi-Objective Optimization