Alternatives and similar repositories for Neur2RO

Users that are interested in Neur2RO are comparing it to the libraries listed below

• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆133Updated 2 years ago
• goerigk / RO-DNN
  Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz
  ☆27Updated 4 years ago
• jiedxu / BendersOptim
  Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!
  ☆25Updated 6 years ago
• AI4OPT / ML4OPF
  Machine Learning for Optimal Power Flow in PyTorch
  ☆26Updated 8 months ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆58Updated last month
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆179Updated last month
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆51Updated 2 years ago
• dclee131 / PowerFlowCVXRS
  Solving Optimal Power Flow with Convex Restriction
  ☆22Updated 4 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆39Updated 4 years ago
• LucasBoTang / Augmented_Lagrangian_Method_for_Block-Structured_Integer_Programming
  ☆18Updated last year
• fzsun / cutstock-gurobi
  Cutting stock code for gurobi + python
  ☆20Updated 7 years ago
• stellatogrp / mro_experiments
  ☆30Updated 8 months ago
• mtanneau / or_tutorials
  Tutorial on Benders decomposition and acceleration techniques
  ☆16Updated 2 years ago
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆13Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• LucasBoTang / PyEPO-PredOpt-Chinese-Tutorial
  ☆13Updated last year
• li-group / OptiChat
  OptiChat: Explaining Optimization Models Using LLMs
  ☆54Updated 3 weeks ago
• bukhsh / oats
  Optimisation and Analysis Toolbox for Power Systems
  ☆29Updated 11 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 …
  ☆56Updated 8 months ago
• martinandersen / opfsdr
  Semidefinite relaxation of optimal power flow problems
  ☆21Updated 5 years ago
• ANL-CEEESA / UnitCommitment.jl
  Optimization package for the Security-Constrained Unit Commitment Problem
  ☆131Updated this week
• leoschleier / sddip
  Implementation of the (dynamic) stochastic dual dynamic integer programming (SDDiP) algorithm.
  ☆22Updated 7 months ago
• stefdeli / Data-driven-Adaptive-Benders-Decomposition
  Data-driven Adaptive Benders Decomposition for the Stochastic Unit Commitment Problem: Python codes & Case study data
  ☆33Updated 6 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• ambros-gleixner / MIPcc23
  The MIP Workshop 2023 Computational Competition
  ☆40Updated last year
• power-grid-lib / pglib-uc
  Benchmarks for the Unit Commitment Problem
  ☆106Updated last year
• sshin23 / opf-on-gpu
  ☆10Updated last year
• NREL / OPFLearn.jl
  A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow
  ☆47Updated 2 years ago
• INFERLab / COHORT
  COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility
  ☆14Updated 4 years ago
• pengxiang-liu / benders-decomposition-in-power-system
  Application of Benders decomposition in power systems
  ☆87Updated 5 years ago