rPSMF

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A Python implementation of LightFM, a hybrid recommendation algorithm.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Probabilistic reasoning and statistical analysis in TensorFlow

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Deep recommender models using PyTorch.

Recommender Learning with Tensorflow2.x

High-quality implementations of standard and SOTA methods on a variety of tasks.

A Comparative Framework for Multimodal Recommender Systems

? Single-pass algorithms for statistics