Shuai Zhang

DeepRec. An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

QuatE. Pytorch implementation of Quaternion Knowledge Graph Embeddings.

FML. Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"

deeplearning4recommendersystem. deep learning for recommender system

recommendation. Implementation of SVD and SVD++ for recommendation

autosvdpp. Implementation of AutoSVD++ (SIGIR 2017)

semi-ae-recsys. Implementation of Semi-AE-Rec (ICONIP 2017)

old-home-page. HTML

DeepRec-1. Deeprec is a portable, flexible and comprehensive library including a variety of state-of-the-art deep learning based recommendation models.

OpenCTR. A review and evaluation on CTR prediction models

prompt-pretraining. Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"

TFMF. Biased matrix factorisation using TensorFlow

kbc. Tools for state of the art Knowledge Base Completion.

pytorch-fm. Factorization Machine models in PyTorch

OpenKE. An Open-Source Package for Knowledge Embedding (KE)

TensorFlow-Examples. TensorFlow Tutorial and Examples for beginners

KnowledgeGraphEmbedding. Python

d2l-en. Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.