Alternatives and similar repositories for MST

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

• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆21Updated 4 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆15Updated 4 years ago
• hanshengjiang / Reference_Effects
  Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…
  ☆10Updated last year
• cornell-orie / ORSuite
  ☆14Updated 2 years ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆34Updated last month
• rtm2130 / SPOTree
  ☆34Updated 5 years ago
• ma-aouad / DynamicMNL
  ☆11Updated 4 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆35Updated 4 years ago
• D3M-Research-Group / odtlearn
  A package for tree-based statistical estimation and inference using optimal decision trees.
  ☆41Updated last year
• antoinedesir / RUMnet
  ☆10Updated 2 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
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆86Updated last year
• oroojlooy / newsvendor
  ☆27Updated 5 years ago
• jwmueller / BanditDynamicPricing
  Bandit algorithms for dynamic pricing of many products
  ☆43Updated 6 years ago
• nicola-bastianello / tvopt
  tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.
  ☆14Updated 2 years ago
• Nicolivain / online-sequential-optimization
  Online Convex Optimization algorithms in Python
  ☆12Updated 4 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆20Updated 2 years ago
• d3group / ddop
  Data-Driven operations management - https://d3group.github.io/ddop
  ☆18Updated last year
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 3 years ago
• toonvds / CostSensitiveLearning
  Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".
  ☆20Updated last year
• gsbDBI / contextual_bandits_evaluation
  Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
  ☆10Updated last year
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated 2 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆13Updated 3 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 …
  ☆68Updated 10 months ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆18Updated last year
• tomlinsonk / choice-set-opt
  Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.
  ☆11Updated 5 years ago
• bsouhaib / prob-hts
  Source code for Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data by Ben Taieb, Souhaib, Taylor, James, …
  ☆10Updated 6 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆40Updated 6 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆12Updated 2 years ago