sony / pyIEOE

Related projects ⓘ

Alternatives and complementary repositories for pyIEOE

• usaito / icml2022-mips
  (ICML2022) Off-Policy Evaluation for Large Action Spaces via Embeddings
  ☆20Updated 2 years ago
• usaito / recsys2021-tutorial
  https://sites.google.com/cornell.edu/recsys2021tutorial
  ☆50Updated 2 years ago
• hakuhodo-technologies / scope-rl
  SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection
  ☆114Updated 7 months ago
• deeplearningbrasil / mars-gym
  ☆51Updated 9 months ago
• banditml / banditml
  A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
  ☆65Updated 3 years ago
• industry-bandits / practical-bandits-tutorial
  ☆19Updated last year
• theophilegervet / discrete-off-policy-evaluation
  Implementation of importance sampling, direct, and hybrid methods for off-policy evaluation.
  ☆14Updated 4 years ago
• banditml / offline-policy-evaluation
  Implementations and examples of common offline policy evaluation methods in Python.
  ☆219Updated last year
• zuoxingdong / gym-recsys
  Customizable RecSys Simulator for OpenAI Gym
  ☆26Updated 2 years ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated last year
• olivierjeunen / pessimism-recsys-2021
  Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.
  ☆11Updated last year
• Kenza-AI / mab-ranking
  Online Ranking with Multi-Armed-Bandits
  ☆18Updated 3 years ago
• spotify-research / RIPS_KDD2020
  ☆17Updated 4 years ago
• VowpalWabbit / estimators
  Estimators to perform off-policy evaluation
  ☆13Updated 2 months ago
• fidelity / mabwiser
  [IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
  ☆213Updated 2 months ago
• fullflu / pydtr
  Python library of Dynamic Treatment Regimes
  ☆10Updated 4 years ago
• usaito / CFML-papers
  Summaries and notes on CounterFactual Machine Learning papers
  ☆19Updated 5 years ago
• tohtsky / irspack
  Train, evaluate, and optimize implicit feedback-based recommender systems.
  ☆28Updated last year
• kfoofw / bandit_simulations
  Bandit algorithms simulations for online learning
  ☆78Updated 4 years ago
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆23Updated last year
• jldbc / bandits
  Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
  ☆56Updated 4 years ago
• daturkel / sd_bandits
  ☆14Updated 3 years ago
• usaito / unbiased-implicit-rec-real
  (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
  ☆30Updated last year
• google-research / recsim_ng
  RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
  ☆116Updated 2 years ago
• fidelity / mab2rec
  [AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
  ☆128Updated last month
• criteo-research / bandit-reco
  ☆50Updated 3 years ago
• akshaykr / oracle_cb
  Experimentation for oracle based contextual bandit algorithms.
  ☆31Updated 2 years 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…
  ☆54Updated 4 years ago
• tohtsky / myFM
  A Python/C++ implementation of Bayesian Factorization Machines
  ☆57Updated 2 months ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆89Updated 2 years ago