Google's Operations Research tools:
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Dec 20, 2024 - C++
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combinatorial-optimization
Here are 391 public repositories matching this topic...
Awesome machine learning for combinatorial optimization papers.
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Sep 5, 2024 - Python
A research protocol for deep graph matching.
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Sep 19, 2024 - Python
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
benchmark reinforcement-learning scheduling hydra attention vehicle-routing-problem tsp operations-research cvrp combinatorial-optimization attention-model neural-combinatorial-optimization electronic-design-automation pytorch-lightning torchrl tensordict
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Nov 25, 2024 - Python
The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver
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Dec 3, 2024 - Jupyter Notebook
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
awesome optimization linear-programming awesome-list operations-research mathematical-modelling convex-optimization integer-programming discrete-optimization combinatorial-optimization stochastic-optimization linear-optimization mathematical-programming integer-linear-programming mathematical-optimization
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Dec 15, 2024
Extensible Combinatorial Optimization Learning Environments
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Feb 16, 2023 - C++
A Python Graph Matching Toolkit.
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Oct 21, 2024 - Python
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…
reinforcement-learning deep-learning deep-reinforcement-learning q-learning lstm generative-adversarial-network semi-supervised-learning restricted-boltzmann-machine transfer-learning simulated-annealing deep-q-network automatic-summarization combinatorial-optimization quantum-monte-carlo auto-encoder quantum-annealing energy-based-model self-supervised-learning multi-agent-reinforcement-learning
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Dec 26, 2023 - Python
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
deep-learning pytorch combinatorial-optimization travelling-salesman-problem geometric-deep-learning graph-neural-networks
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Feb 10, 2022 - Python
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
deep-learning transformers pytorch tsp combinatorial-optimization travelling-salesman-problem graph-neural-networks graph-representation-learning
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Aug 26, 2021 - Jupyter Notebook
An OpenAi Gym environment for the Job Shop Scheduling problem.
reinforcement-learning deep-reinforcement-learning openai-gym combinatorial-optimization job-shop-schedulling openai-gym-environment job-shop-scheduling-problem reinforcement-learning-environments
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Nov 5, 2023 - Python
Recent research papers about Foundation Models for Combinatorial Optimization
lists machine-learning awesome awesome-list combinatorial-optimization neural-combinatorial-optimization foundation-models
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Dec 21, 2024
A library for topological network optimization
graph-algorithms artificial-intelligence discrete-mathematics operations-research combinatorial-optimization network-design electrical-circuits aaai-2022 aaai2022
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Nov 15, 2023 - C++
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
reinforcement-learning neural-network deep-reinforcement-learning pytorch vehicle-routing-problem meta-heuristic ant-colony-optimization knapsack-problem combinatorial-optimization neural-combinatorial-optimization scheduling-problem traveling-salesman-problem graph-neural-networks routing-problem capacitated-vehicle-routing-problem bin-packing-problem
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Sep 29, 2024 - Jupyter Notebook
A lightweight memory allocator for hardware-accelerated machine learning
machine-learning compiler static-analysis memory-allocation hardware-acceleration combinatorial-optimization rectangle-packing asplos asplos23
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Aug 11, 2024 - C++
Combinatorial optimization layers for machine learning pipelines
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Dec 23, 2024 - Julia
Conjure: The Automated Constraint Modelling Tool
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Dec 14, 2024 - Haskell
Generic tensor networks for solution space properties.
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Dec 23, 2024 - Julia
A benchmarking repo with various solution methods to various machine scheduling problems
python benchmarking machine-learning jsp assembly deep-reinforcement-learning combinatorial-optimization job-shop-scheduling fjsp flexible-job-shop-scheduling setup-times
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Dec 13, 2024 - Jupyter Notebook
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