Alternatives and similar repositories for RUMnet:

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

• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆13Updated 3 years ago
• cornell-orie / ORSuite
  ☆16Updated last year
• d3group / ddop
  Data-Driven operations management - https://d3group.github.io/ddop
  ☆17Updated 7 months ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆19Updated 3 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆11Updated 2 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆37Updated 7 months ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆19Updated 8 months ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆22Updated last year
• lyeskhalil / mipGNN
  ☆23Updated 3 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆38Updated last year
• rtm2130 / SPOTree
  ☆32Updated 4 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
  ☆23Updated 3 years ago
• jdlph / TAP101
  A collection of open-source projects on the Traffic Assignment Problem
  ☆11Updated last year
• ma-aouad / DynamicMNL
  ☆10Updated 3 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 2 years ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆13Updated 3 years ago
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆15Updated last year
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆71Updated 5 months ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆32Updated 3 years ago
• davidrey123 / DNDP
  Codes, instances and numerical results for the bilevel discrete network design problem (DNDP).
  ☆13Updated 4 years ago
• wouterkool / dpdp
  DPDP
  ☆99Updated 2 years ago
• willzhang3 / MASTER-electric_vehicle_charging_recommendation
  ☆51Updated last month
• khalil-research / Neur2RO
  ☆25Updated 2 months ago
• PredOpt / predopt-benchmarks
  ☆33Updated 5 months ago
• alwaysbyx / e2e-DR-learning
  Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.
  ☆11Updated 2 years ago
• jingzbu / InverseVIsTraffic
  Inverse Variational Inequalities along with optimization problems arising in Traffic networks
  ☆27Updated 6 years ago
• Feeling-well / robust-optimization
  learn from xprog and bertsimas's paper(price of robustness)
  ☆19Updated 6 years ago
• hanshengjiang / Reference_Effects
  Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…
  ☆10Updated 10 months ago