Codazzy's repositories
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
actnn
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
cenyk1230.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
cogdl
CogDL: An Extensive Research Platform for Deep Learning on Graphs
CRGNN
This repository is an implementation of paper : Improving the Training of Graph Neural Networks with Consistency Regularization
FLY_US
美国大学备考资料 How to apply US colleges
GenerativeAdversarialUserModel
Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
grb
Graph Robustness Benchmark: A scalable, general, unified, and reproducible benchmark for evaluating adversarial robustness of Graph Neural Networks
jekyll-doc-theme
Jekyll theme for creating project documentation websites
jittor
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
KBRD
Source code and dataset for EMNLP 2019 paper "Towards Knowledge-Based Recommender Dialog System"
NLP4Rec-Papers
Paper list of NLP for recommender system
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
ProNE
Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"
Transformer-M
One Transformer Can Understand Both 2D & 3D Molecular Data