Alternatives and similar repositories for SmartPredictThenOptimize

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

• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated last year
• rtm2130 / SPOTree
  ☆33Updated 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 …
  ☆48Updated 4 months ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆48Updated 2 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆38Updated 6 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆25Updated last year
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated 2 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• google-deepmind / neural_lns
  ☆48Updated 3 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆37Updated 3 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆128Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆33Updated 4 years ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆20Updated 3 years ago
• andvise / inventory-control
  Implementation of inventory control policy parameters computation algorithms
  ☆19Updated 3 years ago
• AndyZhang92 / DRO-Portfolio-Opt
  ☆15Updated 4 years ago
• cornell-orie / ORSuite
  ☆14Updated last year
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆19Updated 3 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 3 years ago
• wangtianyu61 / robust-stochastic-portfolio-optimization
  the codes and some preliminary progress in the work of robust stochastic portfolio optimization
  ☆11Updated 4 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• XiongPengNUS / rsome
  Robust Stochastic Optimization Made Easy
  ☆321Updated 8 months ago
• khalil-research / Neur2RO
  ☆26Updated 7 months ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆158Updated 3 years ago
• frenkowski / SCIMAI-Gym
  A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
  ☆92Updated last year
• stellatogrp / mro_experiments
  ☆28Updated 3 months ago
• toonvds / CostSensitiveLearning
  Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".
  ☆18Updated last year
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆172Updated last month