Alternatives and similar repositories for smart_predict_optimize

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

• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated last year
• cornell-orie / ORSuite
  ☆14Updated 2 years ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆21Updated 4 years ago
• ma-aouad / DynamicMNL
  ☆11Updated 4 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆13Updated 3 years ago
• rtm2130 / SPOTree
  ☆33Updated 5 years ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆85Updated last year
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• WXY1427 / Learn-LNS-policy
  ☆34Updated 3 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆51Updated 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 …
  ☆58Updated 8 months ago
• lyeskhalil / mipGNN
  ☆27Updated 4 years ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆28Updated last year
• chaitjo / learning-paradigms-for-tsp
  Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
  ☆33Updated 4 years ago
• kledvina / flexible-routing
  A project to assess the costs of flexible vehicle routing strategies
  ☆21Updated 2 years ago
• google-deepmind / neural_lns
  ☆49Updated 3 years ago
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• temur-kh / pdp-drl-project
  Deep reinforcement approach to solving dynamic pickup and delivery problem
  ☆20Updated 4 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆39Updated 4 years ago
• yuzhenfeng2002 / Multi-Commodity-Network-Flow
  Multi-commodity network flow via Dantzig-Wolfe decomposition (Python).
  ☆22Updated 2 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• alwaysbyx / e2e-DR-learning
  Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.
  ☆11Updated 3 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• wouterkool / dpdp
  DPDP
  ☆102Updated 2 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆39Updated 6 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆17Updated 7 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆36Updated 6 years ago