Calculator of David Lewin's music theory

Galileo library for large scale graph training by JD

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

This is a common classifier in machine learning called support vector machine

I create a moudel contains LSTM and Bi_LSTM which are all coded with only tf1.8, the logic is totally realized by my own code

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

TensorFlow code and pre-trained models for BERT