Alternatives and similar repositories for Explainable-CSO

Users that are interested in Explainable-CSO are comparing it to the libraries listed below

• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆20Updated 3 years ago
• D3M-Research-Group / odtlearn
  A package for tree-based statistical estimation and inference using optimal decision trees.
  ☆40Updated last year
• cornell-orie / ORSuite
  ☆14Updated last year
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆12Updated 2 years ago
• vidalt / Districting-Routing
  Source code associated with the paper "Deep Learning for Data-Driven Districting-and-Routing", authored by A. Ferraz, Q. Cappart, and T. …
  ☆25Updated 2 weeks ago
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆23Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆25Updated last year
• airbus / discrete-optimization
  Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
  ☆61Updated last week
• AustinLBuchanan / Combinatorial-Optimization-in-Gurobi
  Combinatorial Optimization in Gurobi
  ☆44Updated 2 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆128Updated last year
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• khalil-research / Neur2RO
  ☆26Updated 7 months ago
• chkwon / PyHygese
  A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)
  ☆91Updated 3 months ago
• MIT-CAVE / rc-cli
  ☆51Updated 2 years ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆48Updated 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 …
  ☆48Updated 4 months ago
• borelian / AdaptiveBenders
  Code and computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico…
  ☆15Updated 2 years ago
• Opt-Mucca / PySCIPOpt-ML
  Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
  ☆30Updated last month
• tumBAIS / euro-meets-neurips-2022
  ☆47Updated last year
• stellatogrp / mro_experiments
  ☆28Updated 3 months ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆21Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆33Updated 4 years ago
• PyJobShop / PyJobShop
  Solve job shop scheduling problems (and more!) in Python.
  ☆48Updated last week
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated last year
• Gurobi / pres-mipheur
  Presentation: Custom MIP Heuristics
  ☆34Updated 3 years ago
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• alberto-santini / cvrp-decomposition
  Decomposition Strategies for Vehicle Routing Heuristics
  ☆29Updated last year