Alternatives and similar repositories for jupyter-notebooks

Users that are interested in jupyter-notebooks are comparing it to the libraries listed below

• appurwar / Contextual-Bandit-News-Article-Recommendation
  Predict and recommend the news articles, user is most likely to click in real time.
  ☆32Updated 7 years ago
• dlranking / dlrr
  DeepSearchRelevanceRanking-KDD2022-Tutorial
  ☆15Updated 3 years ago
• olivierjeunen / pessimism-recsys-2021
  Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.
  ☆11Updated 3 years ago
• VowpalWabbit / estimators
  Estimators to perform off-policy evaluation
  ☆13Updated last year
• jldbc / bandits
  Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
  ☆57Updated 5 years ago
• criteo / Spark-RSVD
  Randomized SVD of large sparse matrices on Spark
  ☆77Updated 3 years ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆59Updated 6 years ago
• qingyun-wu / NonstationaryBanditLib
  ☆15Updated 6 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• criteo-research / bandit-reco
  ☆51Updated 5 years ago
• umeshksingla / news-recommend-ire
  Stream Data based News Recommendation - Contextual Bandit Approach
  ☆47Updated 8 years ago
• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 4 years ago
• VowpalWabbit / reinforcement_learning
  Interaction-side integration library for Reinforcement Learning loops: Predict, Log, [Learn,] Update
  ☆75Updated last year
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆23Updated 2 years ago
• google-research / recsim_ng
  RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
  ☆125Updated 3 years ago
• tohtsky / myFM
  A Python/C++ implementation of Bayesian Factorization Machines
  ☆55Updated 6 months ago
• deezer / carousel_bandits
  Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendad…
  ☆59Updated 5 years ago
• olivierjeunen / decision-theory-www-2021
  Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).
  ☆11Updated 4 years ago
• zynga / rl-bakery
  RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.
  ☆96Updated last year
• maciejkula / mixture
  ☆27Updated 7 years ago
• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆53Updated 2 years ago
• daturkel / sd_bandits
  ☆15Updated 5 years ago
• spotify-research / RIPS_KDD2020
  ☆19Updated 5 years ago
• daddydrac / Contextual-Multi-Armed-Bandits
  ☆36Updated 6 years ago
• aiueola / wsdm2022-cascade-dr
  (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"
  ☆13Updated 2 years ago
• david-cortes / hpfrec
  Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
  ☆79Updated 8 months ago
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 9 years ago
• VowpalWabbit / coba
  Contextual bandit benchmarking
  ☆53Updated last week
• david-cortes / ctpfrec
  Python implementation of "Content-based recommendations with poisson factorization", with some extensions
  ☆30Updated 2 years ago
• iurteaga / bandits
  Public repository for the work on bandit problems
  ☆24Updated last year