Google's Operations Research tools:
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Updated
Oct 5, 2024 - C++
Google's Operations Research tools:
Awesome machine learning for combinatorial optimization papers.
A research protocol for deep graph matching.
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver
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)
A Python Graph Matching Toolkit.
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
An OpenAi Gym environment for the Job Shop Scheduling problem.
A library for topological network optimization
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Recent research papers about Foundation Models for Combinatorial Optimization
A lightweight memory allocator for hardware-accelerated machine learning
Combinatorial optimization layers for machine learning pipelines
Conjure: The Automated Constraint Modelling Tool
Generic tensor networks for solution space properties.
Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times
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