Alternatives and similar repositories for aaai_predit_then_optimize

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

• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆75Updated 9 months ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• TueVJ / PyGuEx
  Examples of optimization problems in Python with Gurobi
  ☆28Updated 9 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆48Updated 2 years ago
• khalil-research / Neur2RO
  ☆26Updated 6 months 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 …
  ☆46Updated 2 months ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆37Updated 3 years ago
• mli171 / Stochastic-Optimization
  Project for Stochastic Programming
  ☆21Updated 7 years ago
• jiedxu / BendersOptim
  Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!
  ☆24Updated 5 years ago
• google-deepmind / neural_lns
  ☆47Updated 3 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆27Updated last year
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆39Updated 6 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• Feeling-well / robust-optimization
  learn from xprog and bertsimas's paper(price of robustness)
  ☆20Updated 6 years ago
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆20Updated 3 years ago
• yuri-tavares / benders-decomposition
  Implementation of original Benders procedures in Python
  ☆9Updated 6 years ago
• RahmanKhorramfar91 / Integer-Benders-for-Stochastic-Programming
  Implementation of Integer bender's cut for SP proposed by Laporte et al.
  ☆10Updated 5 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• stellatogrp / mro_experiments
  ☆26Updated 2 months ago
• LucasBoTang / Augmented_Lagrangian_Method_for_Block-Structured_Integer_Programming
  ☆17Updated 9 months ago
• yuzhenfeng2002 / Multi-Commodity-Network-Flow
  Using Dantzig-Wolfe (DW) decomposition algorithm to solve MCNF(Multi Commodity Network Flow) problem. Final project for the course of (la…
  ☆21Updated 2 years ago
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆22Updated 2 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…
  ☆21Updated 4 years ago
• wujianjack / optimizationmodels
  Optimization models using various solvers
  ☆94Updated 7 years ago