Alternatives and similar repositories for odtlearn

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

• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆34Updated last month
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• rtm2130 / SPOTree
  ☆34Updated 5 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆35Updated 4 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 …
  ☆69Updated 10 months ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆21Updated 4 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆138Updated 2 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆139Updated 3 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated 2 years ago
• guaguakai / decision-focused-RL
  ☆14Updated 4 years ago
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆24Updated 3 years ago
• Opt-Mucca / PySCIPOpt-ML
  Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
  ☆37Updated 7 months ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆15Updated 4 years ago
• stellatogrp / mro_experiments
  ☆30Updated 10 months ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated last year
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆20Updated 2 years ago
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• khalil-research / Neur2RO
  ☆32Updated last year
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆182Updated last month
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆106Updated 2 years ago
• ed-lam / nutmeg
  Nutmeg – a MIP and CP branch-and-check solver
  ☆31Updated 2 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago
• pan5431333 / pyoptree
  Python Implementation of Bertsimas's "Optimal classification trees".
  ☆33Updated 5 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
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• ds4dm / ecole
  Extensible Combinatorial Optimization Learning Environments
  ☆362Updated 3 weeks ago
• airbus / discrete-optimization
  Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
  ☆76Updated 2 weeks ago
• rtm2130 / MST
  Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
  ☆17Updated 2 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆50Updated 2 years ago