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Python implementations of contextual bandits algorithms
Python 780 147
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
Python 79 20
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
C 120 33
(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)
C 46 13
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
C++ 210 40
(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
C++ 58 4