Alternatives and similar repositories for awesome-dynamic-pricing:

Users that are interested in awesome-dynamic-pricing are comparing it to the libraries listed below

• LarrySnyder / stockpyl
  Python inventory optimization and simulation tools.
  ☆112Updated 2 months ago
• jeremite / channel-attribution-model
  An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…
  ☆30Updated 3 years ago
• thejat / scalable-data-driven-assortment-planning
  Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)
  ☆23Updated 3 years ago
• jwmueller / BanditDynamicPricing
  Bandit algorithms for dynamic pricing of many products
  ☆38Updated 5 years ago
• fedinb / Inventory-Optimization
  Scripts inspired by book Inventory Optimization by Nicolas Vandeput.
  ☆36Updated 3 years ago
• tule2236 / Airbnb-Dynamic-Pricing-Optimization
  [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…
  ☆212Updated 6 years ago
• hpi-epic / pricing_competition_simulation
  Simulation Framework for Dynamic Pricing Competitions
  ☆18Updated 6 years ago
• normanrz / dynamic-prices
  Dynamic pricing for selling perishable goods
  ☆64Updated 7 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆321Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆343Updated last year
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆74Updated last year
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆66Updated 6 months ago
• gwr3n / inventoryanalytics
  A Python library dedicated to Inventory Analytics
  ☆21Updated last month
• ragamarkely / scanalytics
  Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.
  ☆67Updated 3 years ago
• google / lifetime_value
  ☆335Updated 5 months ago
• shaneg1507 / data-analytics-in-supply-chain
  An analysis, with a focus on demand forecasting, of transactional data associated with over 2.5 million customers and 31,868 SKUs over th…
  ☆13Updated 4 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 6 years ago
• slavakx / medium_posts
  ☆85Updated last year
• jldbc / bandits
  Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
  ☆56Updated 4 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆32Updated 3 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆111Updated 2 years ago
• flix-tech / RevPy
  Collection of some revenue management tools for python 3
  ☆47Updated last year
• psarka / uplift
  ☆34Updated 6 years ago
• GregMurray30 / MultiTouchAttribution
  Models for Multi-Touch Attribution
  ☆20Updated 3 years ago
• AdityaLab / PROFHiT
  ☆32Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆48Updated 3 years ago
• heyexiaoxue / airline_revenue_management
  收益管理
  ☆12Updated 6 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆62Updated 10 months ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆57Updated 3 years ago