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ckan

deepctr

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

deepctr-pytorch

Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

deepinterestnetwork

dkn

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

eges

interview-notebook

:books: 技术面试需要掌握的基础知识整理，持续更新中~

kgcn

A tensorflow implementation of Knowledge Graph Convolutional Networks

kni

Knowledge-enhanced Neighborhood Interaction model for recommendation

knowledge_graph_based_intent_network

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

knowledgegraphembedding

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorch_word2vec

pytorch word2vec Four implementations : skip gram / CBOW on hierarchical softmax / negative sampling

rechorus

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

reco-papers

Classic papers and resources on recommendation

relationprediction

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

source-code-notebook

关于一些经典论文源码的逐行中文笔记

sparkctr

CTR prediction model based on spark(LR, GBDT, DNN)

tisasrec

TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.

webapp