Alternatives and similar repositories for DD-SAA

Users that are interested in DD-SAA are comparing it to the libraries listed below

• INFERLab / COHORT
  COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility
  ☆14Updated 4 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• singfie / Data-Driven-Optimization
  A repository holding methods from data-driven-optimization used in data science and operations research including sample average approxim…
  ☆22Updated 5 years ago
• Stanford-Sustainable-Systems-Lab / speech-grid-impact
  ☆13Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• stellatogrp / mro_experiments
  ☆28Updated 4 months ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated last year
• goerigk / RO-DNN
  Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz
  ☆24Updated 4 years ago
• khalil-research / Neur2RO
  ☆27Updated 8 months ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆20Updated 3 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆37Updated 3 years ago
• antoinedesir / RUMnet
  ☆9Updated last year
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆38Updated 6 years ago
• HxSun08 / Alt-Diff
  ☆26Updated last year
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• fdn-planning / FDN_Model
  Multi-resource Dynamic Coordinated Planning of Flexible Distribution Network
  ☆12Updated last year
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆48Updated 2 years ago
• chrisyeh96 / voltctrl
  Code accompanying the papers "Online learning for robust voltage control under uncertain grid topology" (IEEE Transaction on Smart Grid, …
  ☆20Updated 8 months ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• alwaysbyx / e2e-DR-learning
  Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.
  ☆11Updated 3 years ago
• INFERLab / PROF
  ☆12Updated 3 years ago
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• cornell-orie / ORSuite
  ☆14Updated last year
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆79Updated 11 months ago
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated 2 years ago
• slacgismo / SCRIPT-tool
  Smart Charging Infrastructure Planning Tool (SCRIPT) Project - Funded by the California Energy Commission (CEC) - EPC-16-057
  ☆10Updated 4 years ago
• nicola-bastianello / tvopt
  tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.
  ☆13Updated 2 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