rtm2130 / SPOTree

Related projects ⓘ

Alternatives and complementary repositories for SPOTree

• PredOpt / predopt-benchmarks
  ☆27Updated 2 months ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆65Updated 3 months ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆36Updated 4 months ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆18Updated 3 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆116Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆27Updated 3 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆34Updated last year
• khalil-research / Neur2RO
  ☆23Updated this week
• D3M-Research-Group / odtlearn
  A package for tree-based statistical estimation and inference using optimal decision trees.
  ☆39Updated 3 months ago
• TueVJ / PyGuEx
  Examples of optimization problems in Python with Gurobi
  ☆28Updated 8 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆66Updated 3 years ago
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated last year
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆13Updated 3 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆46Updated 3 years ago
• google-deepmind / neural_lns
  ☆39Updated 2 years ago
• d3group / ddop
  Data-Driven operations management - https://d3group.github.io/ddop
  ☆16Updated 4 months ago
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆98Updated last year
• cornell-orie / ORSuite
  ☆15Updated 11 months ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆18Updated 5 months ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆24Updated 8 months ago
• ambros-gleixner / MIPcc23
  The MIP Workshop 2023 Computational Competition
  ☆41Updated 9 months ago
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆148Updated 2 months ago
• cog-imperial / romodel
  Modeling robust optimization problems in Pyomo
  ☆80Updated last year
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆15Updated 10 months ago
• lyeskhalil / mipGNN
  ☆21Updated 3 years ago
• wangtianyu61 / robust-stochastic-portfolio-optimization
  the codes and some preliminary progress in the work of robust stochastic portfolio optimization
  ☆11Updated 4 years ago
• mli171 / Stochastic-Optimization
  Project for Stochastic Programming
  ☆20Updated 6 years ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆20Updated 9 months ago
• zhengang-zhong / distributionally_robust_optimization
  ☆30Updated 3 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆11Updated 2 years ago