industry-bandits / practical-bandits-tutorialLinks
โ25Updated 2 years ago
Alternatives and similar repositories for practical-bandits-tutorial
Users that are interested in practical-bandits-tutorial are comparing it to the libraries listed below
Sorting:
- ๐ช Bayesian Hierarchical Models at Scaleโ51Updated 4 years ago
- AutoML for causal inference.โ231Updated 10 months ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-caโฆโ24Updated 2 years ago
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable anโฆโ31Updated 2 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.โ117Updated last year
- ๐ Comparing causality methods in a fair and just way.โ140Updated 5 years ago
- [IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Libraryโ265Updated last year
- Learn Pyro through the M5 forecasting competitionโ86Updated 5 years ago
- A Pythonic microframework for multi-armed bandit problemsโ131Updated 2 months ago
- UpliftML: A Python Package for Scalable Uplift Modelingโ328Updated 2 years ago
- Code for the paper "Temporally-Consistent Survival Analysis".โ26Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimationโ52Updated 4 years ago
- โ17Updated 6 years ago
- Unstructured Code with interesting analysisโ37Updated last year
- โ130Updated last week
- [AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommenderโ156Updated last year
- Comparing different performance estimation methods for time series forecasting tasksโ38Updated 6 months ago
- Implementations and examples of common offline policy evaluation methods in Python.โ224Updated 2 years ago
- [ACM 2024] Jurity: Fairness & Evaluation Libraryโ56Updated last year
- Uplifted Contextual Multi-Armed Banditโ19Updated 3 years ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.โ60Updated last year
- An extension of CatBoost to probabilistic modellingโ148Updated 2 years ago
- Probabilistic Gradient Boosting Machinesโ157Updated last year
- ๐งฎ Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.โ42Updated 3 years ago
- Fit Sparse Synthetic Control Models in Pythonโ87Updated last year
- โ14Updated last year
- Code for Shopper, a probabilistic model of shopping basketsโ52Updated 5 years ago
- Forecasting ๐ซ๐ท elections with Bayesian statistics ๐ฅณโ42Updated 3 years ago
- Active Bayesian Causal Inference (Neurips'22)โ58Updated last year
- Helpers for scikit learnโ16Updated 2 years ago