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angel

A Flexible and Powerful Parameter Server for large-scale machine learning

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn_sentence

CNNs for sentence classification

collmetric

A Tensorflow implementation of Collaborative Metric Learning (CML)

competitive-recsys

A collection of resources for Recommender Systems (RecSys)

convmf

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

convncf

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

difacto_dmlc

Distributed FM and LR based on Parameter Server with Ftrl

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

faiss

A library for efficient similarity search and clustering of dense vectors.

ffm-spark

field-aware-factorization-machine-mpi

LR、FM、FFM model solved by ftrl and sgd parallel on MPI

glove

GloVe model for distributed word representation

gru4rec

GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

implicit

Fast Python Collaborative Filtering for Implicit Datasets

keras-recommendation

Using Keras to implement recommender systems

lda2vec

libffm-ftrl

libffm with ftrl updater

lightctr

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction Based Machine Learning, Deep Learning and Philosophy of Parameter Server.

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

mixture

models

Models and examples built with TensorFlow

mrec

A recommender systems development and evaluation package by Mendeley

ngram2vec

Four word embedding models implemented in Python. Supporting arbitrary context features

nnrec

Neural models for Collaborative Filtering