Alternatives and similar repositories for predopt-benchmarks:

Users that are interested in predopt-benchmarks are comparing it to the libraries listed below

• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆43Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• khalil-research / Neur2RO
  ☆26Updated 4 months ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆19Updated 11 months ago
• stellatogrp / mro_experiments
  ☆26Updated last month
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆75Updated 8 months ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated 9 months ago
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated last year
• ambros-gleixner / MIPcc23
  The MIP Workshop 2023 Computational Competition
  ☆41Updated last year
• lyeskhalil / mipGNN
  ☆26Updated 3 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆122Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 3 years ago
• AI4OPT / ML4OPF
  Machine Learning for Optimal Power Flow
  ☆14Updated last month
• zhengang-zhong / distributionally_robust_optimization
  ☆35Updated 3 years ago
• google-deepmind / neural_lns
  ☆45Updated 3 years ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆29Updated 2 weeks ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆37Updated 5 years ago
• LucasBoTang / PyEPO-PredOpt-Chinese-Tutorial
  ☆10Updated 11 months ago
• Opt-Mucca / Adaptive-Cutsel-MILP
  Adaptive Cut Selection in Mixed-Integer Linear Programming
  ☆13Updated last year
• wangtianyu61 / robust-stochastic-portfolio-optimization
  the codes and some preliminary progress in the work of robust stochastic portfolio optimization
  ☆11Updated 4 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 3 years 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…
  ☆47Updated last year
• TueVJ / PyGuEx
  Examples of optimization problems in Python with Gurobi
  ☆28Updated 9 years ago
• mtanneau / or_tutorials
  Tutorial on Benders decomposition and acceleration techniques
  ☆16Updated last year
• LucasBoTang / Augmented_Lagrangian_Method_for_Block-Structured_Integer_Programming
  ☆17Updated 7 months ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 3 years ago
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆36Updated 7 months ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆132Updated 2 years ago