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".
  ☆21Updated 4 years ago
• D3M-Research-Group / odtlearn
  A package for tree-based statistical estimation and inference using optimal decision trees.
  ☆41Updated last year
• 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. …
  ☆26Updated 4 months ago
• cornell-orie / ORSuite
  ☆14Updated 2 years ago
• rtm2130 / SPOTree
  ☆33Updated 5 years ago
• Opt-Mucca / PySCIPOpt-ML
  Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
  ☆37Updated 5 months ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆13Updated 3 years ago
• AustinLBuchanan / Combinatorial-Optimization-in-Gurobi
  Combinatorial Optimization in Gurobi
  ☆44Updated 2 years ago
• borelian / AdaptiveBenders
  Code and computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico…
  ☆16Updated 2 years ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆34Updated last week
• chkwon / PyHygese
  A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)
  ☆94Updated 7 months 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
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆51Updated 2 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆133Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• MIT-CAVE / rc-cli
  ☆51Updated 2 years ago
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆23Updated 3 years ago
• khalil-research / Neur2RO
  ☆29Updated 11 months ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• Gurobi / pres-mipheur
  Presentation: Custom MIP Heuristics
  ☆34Updated 4 years ago
• Subramanyam-Lab / NEO-LRP
  Codes and datasets for the paper Neural Embedded Mixed-Integer Optimization for Location-Routing Problems
  ☆14Updated last month
• AustinLBuchanan / TSP_VRP
  Python codes for the traveling salesman problem and vehicle routing problem
  ☆67Updated 3 years ago
• wangtianyu61 / robust-stochastic-portfolio-optimization
  the codes and some preliminary progress in the work of robust stochastic portfolio optimization
  ☆11Updated 5 years ago
• stellatogrp / mro_experiments
  ☆30Updated 8 months ago
• heldstephan / jpt-amz
  ☆65Updated last year
• airbus / discrete-optimization
  Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
  ☆74Updated last week
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆179Updated last month
• torressa / cspy
  A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#
  ☆90Updated last year