Alternatives and similar repositories for moocore

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

• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• cog-imperial / entmoot
  Multiobjective black-box optimization using gradient-boosted trees
  ☆61Updated 10 months ago
• D3M-Research-Group / odtlearn
  A package for tree-based statistical estimation and inference using optimal decision trees.
  ☆41Updated last year
• cog-imperial / SnAKe
  Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".
  ☆17Updated last year
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆138Updated 7 months ago
• donghun2018 / seqdecisionlib-release
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆61Updated 6 years ago
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆106Updated 2 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆138Updated 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
• djanka2 / stochastic-optimization
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆65Updated last year
• stellatogrp / cvxro
  Convex Optimization under Uncertainty
  ☆25Updated this week
• cog-imperial / romodel
  Modeling robust optimization problems in Pyomo
  ☆88Updated 3 years ago
• bruscalia / optimization-demo-files
  Examples on numerical optimization
  ☆66Updated last year
• Opt-Mucca / PySCIPOpt-ML
  Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
  ☆37Updated 7 months ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆21Updated 4 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 3 months ago
• AlgTUDelft / ExpensiveOptimBenchmark
  Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
  ☆27Updated 5 months ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆60Updated last month
• cog-imperial / Limeade
  Official implementation of the paper “Limeade: Let integer molecular encoding aid”
  ☆31Updated 9 months ago
• david-cortes / approxcdf
  (Python, R, C) Fast approximations for the CDF of multivariate normal distributions
  ☆27Updated 8 months ago
• dietmarwo / fast-cma-es
  A Python 3 gradient-free optimization library
  ☆153Updated 4 months ago
• MIT-Lu-Lab / cuPDLPx
  A GPU-Accelerated First-Order LP Solver
  ☆118Updated 2 weeks ago
• mobook / MO-book
  Hands-On Optimization with Python
  ☆235Updated last month
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆182Updated last month
• stellatogrp / mro_experiments
  ☆30Updated 10 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 …
  ☆68Updated 10 months 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
• airbus / discrete-optimization
  Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
  ☆76Updated last week
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated 2 years ago