AstronomerAmber / Project-Orient

Related projects: ⓘ

• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆45Updated 6 years ago
• PGuti / DeepBeer
  Experimentations on beers recsys using Keras
  ☆25Updated 6 years ago
• Akxay / recommendation_engine
  ☆23Updated 5 years ago
• criteo / CriteoDisplayCTR-TFOnSpark
  ☆27Updated 2 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆25Updated 5 years ago
• david-cortes / datascienceprojects
  Sample data science projects (machine learning, optimization, business intelligence)
  ☆26Updated 6 years ago
• datadynamo / strata_ny_2017_recommender_tutorial
  Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial
  ☆22Updated 6 years ago
• sparsh-ai / reco-bandit
  Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
  ☆10Updated 3 years ago
• jacopotagliabue / retail-personalization-workshop
  In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.
  ☆21Updated 3 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated last year
• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 3 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• thibalbo / bayesian-abtests-examples
  Bayesian AB Tests Examples
  ☆22Updated 2 years ago
• lumiata / tech_blog
  Follow the Lumiata Tech Blog on Medium!
  ☆21Updated last year
• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• oakfr / intro-to-reco
  introduction class to recommendation systems
  ☆22Updated 5 years ago
• PGuti / Uplift
  About uplift modeling
  ☆28Updated 7 years ago
• DomainGroupOSS / ml-recsys-tools
  ☆16Updated 5 years ago
• animeshgoyal9 / Multi-Armed-Bandit-for-cold-user-in-Recommendation-System
  ☆27Updated 5 years ago
• jmsteinw / Notebooks
  This is where all of the IPython Notebooks will be kept from the blog
  ☆58Updated 6 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• meabhishekkumar / strata-conference-ca-2018
  environment setup for strata conference 2018
  ☆68Updated 6 years ago
• hohsiangwu / kdd-2018-hands-on-tutorials
  KDD Hands-On Tutorial (2018)
  ☆29Updated last year
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆42Updated last month
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆18Updated 5 years ago
• garretthoffman / AI_Conf_2019_DL_4_NLP
  Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing
  ☆25Updated 5 years ago
• mihirk11 / Movie-recommendation-system-using-Bayesian-Network
  Movie recommendation system based on movielens dataset. Bayesian approach used to predict likely rating of the movie
  ☆11Updated 8 years ago
• husnejahan / Multi-armed-bandits-for-dynamic-movie-recommendations
  Multi-armed bandits for dynamic movie recommendations
  ☆13Updated 4 years ago
• wolfecameron / music_recommendation
  contains the notebooks that I created for implementing probabilistic matrix factorization in PyTorch for music recommendation engine.
  ☆17Updated 5 years ago
• rokickim / nutrition-prediction-dataset
  ☆8Updated 6 years ago