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

Making your benchmark of optimization algorithms simple and open

PyTorch implementations of recent optimization algorithms for deep learning.

Sample Code Collection of Nature-Inspired Computational Methods

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

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

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

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 SciPy compatible super fast Python implementation for Particle Swarm Optimization.

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

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

Simulated Dual Annealing for python and benchmarks

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

Global optimization algorithms written in C++

Reinforcement learning with A* and a deep heuristic

Mathematical optimization in pure Rust

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.

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

Image-processing software for cryo-electron microscopy

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

Visualize Tensorflow's optimizers.

Sparse Optimisation Research Code

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

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

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

Matlab and Python toolbox for fast Total Variation proximity operators

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

RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

Algorithmic trading strategies

Typesafe, purely functional Computational Intelligence

Visualize optimization algorithms in MATLAB.

Videos of deep learning optimizers moving on 3D problem-landscapes

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

[ICLR 2021] Is Attention Better Than Matrix Decomposition?