Alternatives and similar repositories for simopt

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

• XiongPengNUS / rsome
  Robust Stochastic Optimization Made Easy
  ☆321Updated 8 months ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆128Updated last year
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆172Updated last month
• AlgTUDelft / ExpensiveOptimBenchmark
  Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
  ☆25Updated 7 months ago
• cog-imperial / romodel
  Modeling robust optimization problems in Pyomo
  ☆83Updated 2 years ago
• Gurobi / gurobi-machinelearning
  Formulate trained predictors in Gurobi models
  ☆235Updated last week
• google-deepmind / neural_lns
  ☆48Updated 3 years ago
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• wbpowell328 / stochastic-optimization
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆346Updated 6 years ago
• ds4dm / ecole
  Extensible Combinatorial Optimization Learning Environments
  ☆346Updated 2 months ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆27Updated last year
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆104Updated 2 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆48Updated 2 years ago
• cog-imperial / OMLT
  Represent trained machine learning models as Pyomo optimization formulations
  ☆324Updated 3 months ago
• Gurobi / pres-mipheur
  Presentation: Custom MIP Heuristics
  ☆34Updated 3 years ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆77Updated 11 months ago
• ambros-gleixner / MIPcc23
  The MIP Workshop 2023 Computational Competition
  ☆40Updated last year
• andvise / inventory-control
  Implementation of inventory control policy parameters computation algorithms
  ☆19Updated 3 years ago
• airbus / discrete-optimization
  Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
  ☆61Updated this week
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 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 …
  ☆48Updated 4 months ago
• MaximilianB2 / pc-gym
  Reinforcement learning environments for process control applications.
  ☆53Updated 2 weeks ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆37Updated last month
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 3 years ago
• Wenbo11 / learntocut
  Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'
  ☆40Updated 5 years ago
• TueVJ / PyGuEx
  Examples of optimization problems in Python with Gurobi
  ☆28Updated 9 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
• WenYuZhi / PyomoTutorial
  PyomoTutorial
  ☆34Updated last year
• mouadmorabit / MLColumnSelection
  Machine-learning-based column selection
  ☆36Updated 3 years ago
• grossmann-group / or-gym
  Environments for OR and RL Research
  ☆12Updated 3 years ago