Awesome machine learning for combinatorial optimization papers.
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Updated
Jan 23, 2023 - Python
Awesome machine learning for combinatorial optimization papers.
Code & pretrained models of novel deep graph matching methods.
Extensible Combinatorial Optimization Learning Environments
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
Python graph matching solvers & evaluating protocol.
A library for topological network optimization
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
An OpenAi Gym environment for the Job Shop Scheduling problem.
Conjure: The Automated Constraint Modelling Tool
Combinatorial optimization layers for machine learning pipelines
Infrastructure for Ordering using Seriation - R Package
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times
Minotaur Toolkit for Mixed-Integer Nonlinear Optimization
Summarize Massive Datasets using Submodular Optimization
C++ implementation of algorithms for finding perfect matchings in general graphs
BCP-MAPF – branch-and-cut-and-price for multi-agent path finding
Generic tensor networks for solution space properties.
Kiwi is a minimalist and extendable Constraint Programming (CP) solver.
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