Alternatives and similar repositories for NeurIPS_Two_Stage_Predict-Optimize

Users that are interested in NeurIPS_Two_Stage_Predict-Optimize are comparing it to the libraries listed below

• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated 2 years ago
• stellatogrp / mro_experiments
  ☆28Updated 3 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 …
  ☆48Updated 4 months ago
• khalil-research / Neur2RO
  ☆26Updated 7 months ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆33Updated 4 years ago
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆38Updated 6 years ago
• HxSun08 / Alt-Diff
  ☆25Updated last year
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆19Updated 3 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆48Updated 2 years ago
• INFERLab / COHORT
  COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility
  ☆14Updated 4 years ago
• Graph-COM / DIG_MILP
  The official implementation of DIG-MILP
  ☆14Updated last year
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆37Updated last month
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆77Updated 11 months ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆12Updated 2 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆37Updated 3 years ago
• rtm2130 / SPOTree
  ☆33Updated 4 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
• lyeskhalil / mipGNN
  ☆26Updated 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
  ☆24Updated 4 years ago
• chrisyeh96 / sustaingym
  Reinforcement Learning Environments for Sustainable Energy Systems
  ☆53Updated last year
• Sandbergo / branch2learn
  Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole
  ☆19Updated 2 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆128Updated last year
• INFERLab / PROF
  ☆12Updated 3 years ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆158Updated 3 years ago
• Stanford-Sustainable-Systems-Lab / speech-grid-impact
  ☆12Updated 2 years ago
• AI4OPT / ML4OPF
  Machine Learning for Optimal Power Flow in PyTorch
  ☆19Updated 3 months ago