Awesome machine learning for combinatorial optimization papers.
pytorch neural combinatorial optimization
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
Bin Packing Problem using Neural Combinatorial Optimization.
Bayesian Optimization of Combinatorial Structures
Learning to Perform Local Rewriting for Combinatorial Optimization
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Paper collection of reinforcement learning based combinatorial optimization
Materials for the tutorial "Combinatorial Optimization on Quantum Computers"
"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
哈工大组合优化与凸优化研究生课程实验(2020春)
The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.
Pairwise Independent Combinatorial Tool
Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
Python Combinatorial Optimisation Platform
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
Multiscale Combinatorial Grouping - Object Proposals and Segmentation
Fully parametrizable combinatorial parallel LFSR/CRC module
The source code of the paper "BDRL: Combining Bert and Deep Reinforcement Learning to learn the Combinatorial Optimization Algorithms over Graphs"
Java implementation of Combinatorial Test Case Generation