Alternatives and similar repositories for XCP-explain

Users that are interested in XCP-explain are comparing it to the libraries listed below

• 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 …
  ☆65Updated 9 months ago
• tias / constraint-solving-course
  An open-source course on constraint solving
  ☆25Updated 2 months ago
• Opt-Mucca / PySCIPOpt-ML
  Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
  ☆37Updated 7 months ago
• joaopedroso / scipbook
  ☆67Updated 6 years ago
• ticdat / ticdat
  ☆24Updated this week
• joehuchette / ISCO-spring-school
  Material for the ISCO 2018 spring school: “Advanced Mixed Integer Programming Formulation Techniques”
  ☆16Updated 7 years ago
• rtm2130 / SPOTree
  ☆33Updated 5 years ago
• open-optimization / open-optimization-or-book
  Mathematical Programming and Operations Research: Modeling, Algorithms, and Complexity. Examples in Python and Excel. Edited by Robert Hi…
  ☆36Updated 2 months ago
• bruscalia / optimization-demo-files
  Examples on numerical optimization
  ☆66Updated last year
• AustinLBuchanan / Combinatorial-Optimization-in-Gurobi
  Combinatorial Optimization in Gurobi
  ☆44Updated 2 years ago
• cvxpy / cvxtorch
  Convert CVXPY expressions to PyTorch expressions
  ☆19Updated 6 months ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆34Updated last month
• crillab / pyxai
  PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or c…
  ☆39Updated 8 months ago
• donghun2018 / seqdecisionlib-release
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆61Updated 6 years ago
• airbus / discrete-optimization
  Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
  ☆76Updated 3 weeks ago
• D3M-Research-Group / odtlearn
  A package for tree-based statistical estimation and inference using optimal decision trees.
  ☆41Updated last year
• tadatoshi / metaheuristic_algorithms_python
  Various metaheuristic algorithms implemented in Python.
  ☆51Updated 10 years ago
• cog-imperial / galini
  An extensible MINLP solver
  ☆46Updated 6 months ago
• multi-objective / moocore
  Core Mathematical Functions for Multi-Objective Optimization
  ☆38Updated this week
• Gurobi / gurobi-optimods
  Data-driven APIs for common optimization tasks
  ☆173Updated last month
• pietrobarbiero / constraint-learning
  Constraint-based Learning with Neural Networks
  ☆15Updated 5 years ago
• CPMpy / cpmpy
  Constraint Programming and Modeling library in Python, based on numpy, with direct solver access.
  ☆323Updated this week
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• mobook / MO-book
  Hands-On Optimization with Python
  ☆235Updated 3 weeks ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆136Updated 2 years ago
• stellatogrp / lropt
  ☆23Updated last month
• toulbar2 / toulbar2
  Exact optimization for cost function networks and additive graphical models
  ☆62Updated 3 weeks ago
• wouterbles / pyaugmecon
  An AUGMECON based multi-objective optimization solver for Pyomo.
  ☆30Updated 9 months ago
• aia-uclouvain / pydl8.5
  An algorithm for learning optimal decision trees, with Python interface
  ☆68Updated 2 years ago
• hdavid16 / InventoryManagement.jl
  A discrete-time simulation environment for Inventory Management in Supply Networks.
  ☆24Updated 2 years ago