Alternatives and similar repositories for DynamicMNL

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

• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆19Updated 3 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• thejat / scalable-data-driven-assortment-planning
  Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)
  ☆24Updated 3 years ago
• BSifringer / EnhancedDCM
  Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit
  ☆38Updated 5 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆38Updated 10 months ago
• mamadpierre / DNN-SMEIO
  Integration of DNN framework with Stochastic Multi-echelon Inventory Optimization (SMEIO)
  ☆7Updated 4 years ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆15Updated 10 months ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆11Updated 2 years ago
• rtm2130 / MST
  Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
  ☆17Updated 2 years ago
• anshul-musing / single-echelon-inventory-assessment
  inventory simulation modules for single-echelon supply chain
  ☆13Updated 6 years ago
• Feeling-well / robust-optimization
  learn from xprog and bertsimas's paper(price of robustness)
  ☆20Updated 6 years ago
• venktesh22 / ExpressLanes_Deep-RL
  ☆26Updated 4 years ago
• antoinedesir / RUMnet
  ☆9Updated last year
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆75Updated 9 months ago
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• d3group / ddop
  Data-Driven operations management - https://d3group.github.io/ddop
  ☆16Updated 10 months ago
• vikashsahu4 / Inventory-Optimization-Algorithms
  Algorithms Library for Supply Chain Inventory Optimization
  ☆16Updated 6 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• jwmueller / BanditDynamicPricing
  Bandit algorithms for dynamic pricing of many products
  ☆40Updated 5 years ago
• DanieleGammelli / variational-poisson-rnn
  Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"
  ☆19Updated 3 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated last year
• oroojlooy / newsvendor
  ☆26Updated 4 years ago
• tomlinsonk / choice-set-opt
  Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.
  ☆11Updated 4 years ago
• kanguyn / Machine-Learning-Under-Optimization-Lens-Fall2018
  Work from class 15.095 Machine Learning Under a Modern Optimization Lens at MIT taught by Dimitris Bertsimas and Martin Copenhaver
  ☆40Updated 6 years ago
• Kanishkparganiha / deep-reinforcement-learning-on-multi-echelon-inventory-management
  ☆10Updated 3 years ago
• WenYuZhi / team-learning-rl
  运筹OR帷幄 强化学习学习小组
  ☆25Updated 4 years 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 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated 11 months ago