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

• 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 …
  ☆35Updated last week
• stellatogrp / mro_experiments
  ☆24Updated last year
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆19Updated 10 months ago
• khalil-research / Neur2RO
  ☆25Updated 3 months ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆21Updated 2 weeks ago
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆17Updated 3 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆35Updated 5 years ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• Graph-COM / DIG_MILP
  The official implementation of DIG-MILP
  ☆14Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆30Updated 4 years ago
• HxSun08 / Alt-Diff
  ☆24Updated last year
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆40Updated 2 years ago
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• lyeskhalil / mipGNN
  ☆24Updated 3 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆38Updated 8 months ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆13Updated 3 years ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆72Updated 7 months ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 3 years ago
• Sandbergo / branch2learn
  Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole
  ☆18Updated 2 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆11Updated 2 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆33Updated 3 years ago
• TU-Delft-AI-Energy-Lab / Workshop_AI_for_Intelligent_Energy_Systems
  AI for Intelligent Energy Systems Workshop is a three day workshop hosted by TU Delft DAI Lab. The workshop focuses on the applications o…
  ☆15Updated 9 months ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆26Updated last year
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆38Updated 5 months ago
• wangtianyu61 / robust-stochastic-portfolio-optimization
  the codes and some preliminary progress in the work of robust stochastic portfolio optimization
  ☆11Updated 4 years ago
• AI4OPT / ML4OPF
  Machine Learning for Optimal Power Flow
  ☆12Updated this week
• krishnap25 / sqwash
  Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.
  ☆12Updated last year