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

• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated last year
• 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 …
  ☆37Updated last month
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated 11 months ago
• khalil-research / Neur2RO
  ☆26Updated 4 months ago
• stellatogrp / mro_experiments
  ☆26Updated last month
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆45Updated 2 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆37Updated 5 years ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆30Updated 3 weeks ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated 9 months ago
• lyeskhalil / mipGNN
  ☆26Updated 3 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆28Updated last year
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆18Updated 3 years ago
• AndyZhang92 / DRO-Portfolio-Opt
  ☆13Updated 4 years ago
• Graph-COM / DIG_MILP
  The official implementation of DIG-MILP
  ☆14Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 3 years ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆26Updated last year
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 3 years ago
• google-deepmind / neural_lns
  ☆46Updated 3 years ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• Sandbergo / branch2learn
  Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole
  ☆19Updated 2 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 2 years ago
• HxSun08 / Alt-Diff
  ☆25Updated 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
  ☆23Updated 3 years ago
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆40Updated 6 months ago
• martius-lab / blackbox-differentiation-combinatorial-solvers
  ☆22Updated 3 years ago
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago