Alternatives and similar repositories for Neur2SP

Users that are interested in Neur2SP are comparing it to the libraries listed below

• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆59Updated 2 years ago
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated 2 years ago
• PredOpt / predopt-benchmarks
  This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …
  ☆49Updated 5 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…
  ☆51Updated 2 years ago
• khalil-research / Neur2RO
  ☆27Updated 9 months ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆128Updated last year
• lyeskhalil / mipGNN
  ☆27Updated 4 years ago
• LucasBoTang / PyEPO-PredOpt-Chinese-Tutorial
  ☆12Updated last year
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆69Updated 4 years ago
• khalil-research / Neur2BiLO
  ☆11Updated 8 months ago
• mouadmorabit / MLColumnSelection
  Machine-learning-based column selection
  ☆38Updated 3 years ago
• goerigk / RO-DNN
  Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz
  ☆24Updated 4 years ago
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆174Updated last month
• XiongPengNUS / rsome
  Robust Stochastic Optimization Made Easy
  ☆327Updated 9 months ago
• khalil-research / RLCG
  ☆18Updated 2 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated last year
• GithubofRuZhang / DRO-Translation
  ☆52Updated 8 months ago
• google-deepmind / neural_lns
  ☆49Updated 3 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆37Updated 4 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆81Updated last year
• aaronkandel / Wasserstein-Robust-Optimization
  Starter pack for distributionally robust chance-constrained optimization using the Wasserstein distance
  ☆12Updated last year
• pengxiang-liu / benders-decomposition-in-power-system
  Application of Benders decomposition in power systems
  ☆83Updated 5 years ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆40Updated 2 months ago
• stefdeli / Data-driven-Adaptive-Benders-Decomposition
  Data-driven Adaptive Benders Decomposition for the Stochastic Unit Commitment Problem: Python codes & Case study data
  ☆32Updated 5 years ago
• TueVJ / PyGuEx
  Examples of optimization problems in Python with Gurobi
  ☆28Updated 9 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆49Updated 4 years ago
• Sandbergo / branch2learn
  Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole
  ☆19Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• Zhengzhong-You / RouteOpt
  RouteOpt
  ☆63Updated this week