brian-c-ogorman / ABanditTestingLinks
No Regrets: A deep dive comparison of bandits and A/B testing
☆47Updated 7 years ago
Alternatives and similar repositories for ABanditTesting
Users that are interested in ABanditTesting are comparing it to the libraries listed below
Sorting:
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 6 years ago
- Simple but Flexible Recommendation Engine in PyTorch☆133Updated 3 years ago
- A tour through recommendation algorithms in python [IN PROGRESS]☆178Updated last year
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Bayesian AB Tests Examples☆22Updated 3 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆47Updated 8 years ago
- About uplift modeling☆30Updated 9 years ago
- ☆51Updated 5 years ago
- Repository for experiments with MetaProd2Vec and related algorithms.☆59Updated 6 years ago
- A Python package for Bayesian A/B Testing☆61Updated 2 years ago
- Experimentations on beers recsys using Keras☆25Updated 8 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆32Updated 7 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆91Updated 2 years ago
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆57Updated 5 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 6 years ago
- Sample data science projects (machine learning, optimization, business intelligence)☆28Updated 7 years ago
- Lightweight uplift modeling framework for Python☆28Updated 6 years ago
- ☆34Updated 7 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆155Updated 7 years ago
- The 18th Place Solution to Avito Demand Prediction Challenge☆26Updated 6 years ago
- 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
- ☆46Updated 5 years ago
- Demand Forecasting Models for Kaggle competition☆88Updated 7 years ago
- Official repo for FF19: Session-based Recommender Systems☆40Updated 4 years ago
- Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning☆13Updated 4 years ago
- Dynamic pricing for selling perishable goods☆64Updated 8 years ago
- ☆24Updated 2 years ago
- A prototype implementation of ClusChurn based on PyTorch.☆52Updated 7 years ago
- Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial☆22Updated 8 years ago
- General Interpretability Package☆58Updated 3 years ago