95 Open source projects that are alternatives of or similar to Min Cost Flow Class

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.

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

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

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

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

Dice.com tutorial on using black box optimization algorithms to do relevancy tuning on your Solr Search Engine Configuration from Simon Hughes Dice.com

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

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

Supported highly optimized and flexible genetic algorithm package for python

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

Toy implementations of some popular ML optimizers using Python/JAX

Tensorflow implementation of preconditioned stochastic gradient descent

DFO-GN: Derivative-Free Optimization using Gauss-Newton

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

A curated list of awesome links and software libraries that are useful for robots.

A JavaScript library to allocate and optimize financial portfolios.

Convex optimization for java and scala, built on Apache Commons Math

Iterated Racing for Automatic Algorithm Configuration

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.

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

Unconstrained function minimization in Javascript

Powell's Derivative-Free Optimization solvers

A tour of different optimization algorithms in PyTorch.

Python library for Bayesian hyper-parameters optimization

sopt:A simple python optimization library

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

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

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

🔌⚡ 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

Implementation of Variational Quantum Factoring algorithm.

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

A Genetic Algorithm Framework in Python

A genetic algorithm implementation in python

ROS-compatible Eigen-based Goldfarb-Idnani quadratic programming solver

A metaheuristic optimization framework

A header-only C++ library for numerical optimization --

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

MATLAB implementations of a variety of nonlinear programming algorithms.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

A research toolkit for particle swarm optimization in Python

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

A mod for KerbalSaceProgram

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

oj! Algorithms

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.

simobility - light-weight mobility simulation framework. Best for quick prototyping

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

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Wolfram Language interface to the Gurobi numerical optimization library

Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.

Matlab library for gradient descent algorithms: Version 1.0.1

Curvature Filters are efficient solvers for Variational Models

Large scale convex optimization solvers in julia

Neural Networks in Java 8 with CuDNN and Aparapi

船长关于机器学习、计算机视觉和工程技术的总结和分享

🎯 A comprehensive gradient-free optimization framework written in Python

Generic and efficient MATLAB solver for nonsmooth optimization problems

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