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autoint

Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

awesome-generative-information-retrieval

buptgraduatethesis

daisyrec

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

deepctr

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

deepctr-torch

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

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

deeptables

DeepTables: Deep-learning Toolkit for Tabular data

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

gpuserver-hacker

how to hold gpu cards on servers

graphembedding

Implementation and experiments of graph embedding algorithms.

graphgallery

GraphGallery is a gallery of state-of-the-art Graph Neural Networks (GNNs) for TensorFlow 2.x and PyTorch.

kdd2019-meirec

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

mmgcn

MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

recbole

A unified, comprehensive and efficient recommendation library

recommendersystems

recq

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

webultron

The source code of the paper "WebUltron: An Ultimate Retriever on Webpages under the Model-centric Paradigm"