Alternatives and similar repositories for mro_experiments

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

• khalil-research / Neur2RO
  ☆31Updated last year
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated 2 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆136Updated 2 years ago
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆106Updated 2 years ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆59Updated last month
• LucasBoTang / Augmented_Lagrangian_Method_for_Block-Structured_Integer_Programming
  ☆18Updated last year
• INFERLab / COHORT
  COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility
  ☆14Updated 4 years ago
• cvxgrp / cvxpower
  Power Network Optimization and Simulation.
  ☆53Updated 2 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆40Updated 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 …
  ☆65Updated 9 months ago
• INFERLab / PROF
  ☆12Updated 4 years ago
• AI4OPT / ML4OPF
  PyTorch utilities for Optimal Power Flow
  ☆27Updated 9 months ago
• xuwkk / task_aware_machine_unlearning
  This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
  ☆12Updated last year
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆13Updated 3 years ago
• stellatogrp / lropt
  ☆23Updated 3 weeks ago
• lingquant / msppy
  ☆53Updated 4 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
• stellatogrp / l2ws_qp
  ☆14Updated 2 years ago
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆39Updated 6 years ago
• LOTUS-Lab-at-VT / ER-DRO
  Codes for the paper "Residuals-based Distributionally Robust Optimization with Covariate Information"
  ☆10Updated 3 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆50Updated 2 years ago
• cog-imperial / romodel
  Modeling robust optimization problems in Pyomo
  ☆87Updated 3 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
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆168Updated 4 years ago
• martinandersen / opfsdr
  Semidefinite relaxation of optimal power flow problems
  ☆21Updated 5 years ago
• dclee131 / PowerFlowCVXRS
  Solving Optimal Power Flow with Convex Restriction
  ☆22Updated 4 years ago
• HxSun08 / Alt-Diff
  ☆26Updated last year
• bukhsh / oats
  Optimisation and Analysis Toolbox for Power Systems
  ☆29Updated last year
• Stanford-Sustainable-Systems-Lab / speech-grid-impact
  ☆13Updated 3 years ago