99 Open source projects that are alternatives of or similar to Performance-Estimation-Toolbox

PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

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

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

A parallel branch-and-bound engine for Python. (https://pybnb.readthedocs.io/)

Making your benchmark of optimization algorithms simple and open

Iterated Racing for Automatic Algorithm Configuration

Proximal operators for nonsmooth optimization in Julia

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.

Mathematical optimization in pure Rust

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

Collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

Tensorflow implementation of preconditioned stochastic gradient descent

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

Sample Code Collection of Nature-Inspired Computational Methods

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

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).

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

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

Toy implementations of some popular ML optimizers using Python/JAX

Global optimization algorithms written in C++

Supported highly optimized and flexible genetic algorithm package for python

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

Semidefinite programming optimization solver

Sparse Optimisation Research Code

This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Matlab library for gradient descent algorithms: Version 1.0.1

A metaheuristic optimization framework

sopt:A simple python optimization library

🔌⚡ 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

PyTorch implementations of recent optimization algorithms for deep learning.

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

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

Python library for Bayesian hyper-parameters optimization

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

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

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

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

Optimized implementation of suffix tree in python using Ukkonen's algorithm.

Simulated Dual Annealing for python and benchmarks

Large scale convex optimization solvers in julia

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

Reinforcement learning with A* and a deep heuristic

A genetic algorithm implementation in python

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

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.

Image-processing software for cryo-electron microscopy

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

Visualize Tensorflow's optimizers.

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

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs

Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/

Wolfram Language interface to the Gurobi numerical optimization library

A tour of different optimization algorithms in PyTorch.

Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code

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

A JavaScript library to allocate and optimize financial portfolios.