Stars
An industrial deep learning framework for high-dimension sparse data
keras implement of transformers for humans
使用谷歌预训练bert做字嵌入的BiLSTM-CRF序列标注模型
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
PyTorch implementation of residual gated graph ConvNets, ICLR’18
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Sample Code for Gated Graph Neural Networks
Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
An Open-Source Package for Knowledge Embedding (KE)
A tensorflow implementation of Knowledge Graph Convolutional Networks
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Simple reference implementation of GraphSAGE.
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
RSTutorials: A Curated List of Must-read Papers on Recommender System.
List of Data Science Cheatsheets to rule the world
An optimizer that trains as fast as Adam and as good as SGD.
Recipes for using Python's pandas library
An other implementation of GRU4REC using PyTorch
My blogs and code for machine learning. http://cnblogs.com/pinard
Repo for counting stars and contributing. Press F to pay respect to glorious developers.