A Python implementation of LightFM, a hybrid recommendation algorithm.
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Updated
Jul 24, 2024 - Python
A Python implementation of LightFM, a hybrid recommendation algorithm.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Deep recommender models using PyTorch.
A curated list of community detection research papers with implementations.
Recommender Learning with Tensorflow2.x
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
fastFM: A Library for Factorization Machines
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
A Comparative Framework for Multimodal Recommender Systems
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
Nimfa: Nonnegative matrix factorization in Python
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
recommendation system with python
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
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