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Awesome machine learning for combinatorial optimization papers.
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
A research protocol for deep graph matching.
The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver
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
Recent research papers about Foundation Models for Combinatorial Optimization
lists machine-learning awesome awesome-list combinatorial-optimization neural-combinatorial-optimization foundation-models
NVIDIA cuOpt examples for decision optimization
gpu optimization linear-programming vehicle-routing-problem operations-research optimization-algorithms combinatorial-optimization mixed-integer-programming route-optimization traveling-salesman-problem
Extensible Combinatorial Optimization Learning Environments
A Python Graph Matching Toolkit.
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
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
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
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
A fast and fearless Collision Detection Engine for 2D nesting problems
geometry optimization bin-packing collision-detection packing 2d cutting nesting combinatorial-optimization feasibility laser-cutting strip-packing leather no-fit-polygon irregular cutting-and-packing
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
[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
A lightweight memory allocator for hardware-accelerated machine learning
machine-learning compiler static-analysis memory-allocation hardware-acceleration combinatorial-optimization rectangle-packing asplos asplos23
A graph-based python framework for fitness landscape analysis
python bioinformatics computational-biology epistasis black-box-optimization fitness-landscape combinatorial-optimization fitness-landscape-analysis deep-mutational-scanning evolutionary-biology protein-engineering directed-evolution
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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