w-cheng's repositories
addons
Useful extra functionality for TensorFlow maintained by SIG-addons
checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
docker-nlp
NLP docker images I find useful
document-image-classification-TL-SG
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks
GraphFlow
Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]
home-dotfiles
My personal home dotfiles
Module-0
Module 0 - Fundamentals
pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
relational-gcn
Keras-based implementation of Relational Graph Convolutional Networks
shell-tips
Useful and tips of some shell commands I use
vim-dotfiles
My .vim files