Alternatives and similar repositories for COExpander

Users that are interested in COExpander are comparing it to the libraries listed below

• JohnnyZPiggy / DRO-Translation
  ☆57Updated 11 months ago
• liujl11git / GNN-MILP
  [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…
  ☆53Updated 2 years ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆68Updated 4 months ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆51Updated 2 years ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆61Updated 2 years ago
• xiaofangxd / Multitasking-Optimization
  Summary of Multitasking Optimization
  ☆91Updated last year
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆13Updated 2 years ago
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆80Updated 5 months ago
• amos-eda-97 / Q-learning-based-optimal-path
  Q-learning based optimal path algorithm is a Reinforcement Learning algorithm
  ☆14Updated 2 years ago
• zhangzizhen / ML-DAM
  ☆26Updated 4 years ago
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆20Updated last year
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆64Updated 3 years ago
• singfie / Data-Driven-Optimization
  A repository holding methods from data-driven-optimization used in data science and operations research including sample average approxim…
  ☆23Updated 5 years ago
• castacks / cvar-energy-risk-deep-model
  CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model
  ☆25Updated 2 years ago
• Prinway / Distributionally-Robust-Optimization-Notes
  Notes for Distributionally Robust Optimization (DRO) 分布鲁棒优化学习笔记
  ☆51Updated 2 years ago
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆41Updated last year
• Bill-CJB / NHDE
  ☆27Updated 2 years ago
• LucasBoTang / PyEPO-PredOpt-Chinese-Tutorial
  ☆13Updated last year
• Bill-CJB / EMNH
  ☆23Updated 2 years ago
• Rintarooo / MDVRP_MHA
  Multi-Depot Vehicle Routing Problem solver using Deep RL, GA and Google OR-Tools
  ☆79Updated 4 years ago
• ShaohuiLiu / GNN_OPF_electricity_market
  ☆31Updated last year
• mengchengTang / DRL-Energy-optimal-Routing-for-Electric-Vehicles
  Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer
  ☆33Updated 2 years ago
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆36Updated 7 months ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆174Updated last year
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• zcaicaros / manager-worker-mtsptwr
  Official implementation of paper "Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning"
  ☆48Updated 3 years ago
• liangxinedu / NeuroLKH
  ☆79Updated 3 years ago
• ajitgupta7 / DSVRPTW_PPO
  DRL for Dynamic Stochastic Vehicle Routing Problem with Time Window
  ☆15Updated 2 years ago
• yining043 / NeuOpt
  This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…
  ☆51Updated last year
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆43Updated 3 years ago