Implicit Feedback Python Packages

hpfrec

Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

pyreclab

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

recometrics

(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems

poismf

(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)

recotem

Recipe-driven recommender systems on irspack — one YAML = one model = one recommendation API. Train writes a signed artifact; serve mounts it with hot-swap. Single binary, no database.

ml-recsys-tools

Tools for development of recommendation systems in Python.

pytorchcml

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.