zhengyang-wang
Ph.D. student in Computer Science at Texas A&M University; Master of Science in Data Science at New York University
Texas A&M University
zhengyang-wang's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
romkatv/powerlevel10k
A Zsh theme
google-research/bert
TensorFlow code and pre-trained models for BERT
google/styleguide
Style guides for Google-originated open-source projects
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
ctgk/PRML
PRML algorithms implemented in Python
Atcold/pytorch-Deep-Learning
Deep Learning (with PyTorch)
dragen1860/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
thunlp/KRLPapers
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
PetarV-/TikZ
Complete collection of my PGF/TikZ figures.
weihua916/powerful-gnns
How Powerful are Graph Neural Networks?
anhaidgroup/deepmatcher
Python package for performing Entity and Text Matching using Deep Learning.
snap-stanford/GraphRNN
NVlabs/selfsupervised-denoising
High-Quality Self-Supervised Deep Image Denoising - Official TensorFlow implementation of the NeurIPS 2019 paper
graphdml-uiuc-jlu/geom-gcn
yaqingwang/EANN-KDD18
EANN: event-adversarial neural networks for multi-modal fake news detection
yaqingwang/WeFEND-AAAI20
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
takerum/vat
Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
divelab/Non-local-U-Nets
Non-local U-Nets for Biomedical Image Segmentation
divelab/Noise2Same
divelab/vqa-text
zhengyang-wang/GVTNets
Global Voxel Transformer Networks (GVTNets)
zhengyang-wang/sopool-gnns
Second-Order Pooling for Graph Neural Networks
HongyangGao/pytorch_DGCNN
PyTorch implementation of DGCNN
yaqingwang/yaqingwang.github.io