Awesome machine learning for combinatorial optimization papers.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems

Adaptive large neighbourhood search (and more!) in Python.

Environments for OR and RL Research

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

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.

A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.

An evergrowing, professionally curated list of resources on everything decision-making: videos, tutorials, books, papers, theses, articles, datasets, and open-source libraries.

Operations research tools for Ruby

Get started with Timefold quickstarts here. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems

A library for topological network optimization

A collection of NVIDIA cuOpt samples and other resources

FelooPy: Efficient & Feature-Rich Integrated Decision Environment

Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:

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 C++ monorepo for discrete and continuous optimization. Batteries included!

An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.