Popular GitHub Repositories for Lu Factorization

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

A Python scikit for building and analyzing recommender systems

A Python implementation of LightFM, a hybrid recommendation algorithm.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Deep recommender models using PyTorch.

Recommender Learning with Tensorflow2.x

TensorLy: Tensor Learning in Python.

Factorization Machine models in PyTorch

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

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

TensorFlow implementation of an arbitrary order Factorization Machine

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

[NeurIPS 2024] BLAST: Block Level Adaptive Structured Matrix for Efficient Deep Neural Network Inference

Neural Factorization of Shape and Reflectance Under an Unknown Illumination

Some deep learning based recsys for open learning.

SMORe: Modularize Graph Embedding for Recommendation

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).