Pinned 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
unilm
UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond
w-cheng's Repositories
w-cheng/unilm
UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond
w-cheng/addons
Useful extra functionality for TensorFlow maintained by SIG-addons
w-cheng/checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
w-cheng/docker-nlp
NLP docker images I find useful
w-cheng/document-image-classification-TL-SG
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks
w-cheng/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]
w-cheng/home-dotfiles
My personal home dotfiles
w-cheng/Module-0
Module 0 - Fundamentals
w-cheng/pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
w-cheng/relational-gcn
Keras-based implementation of Relational Graph Convolutional Networks
w-cheng/shell-tips
Useful and tips of some shell commands I use
w-cheng/vim-dotfiles
My .vim files