Yi Ding's repositories
EEG-Deformer
A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)
pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation and Finetune.
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
ControlNet
Let us control diffusion models!
muse-lsl
Python script to stream EEG data from the muse 2016 headset
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
thesis_template_ntu
Thesis Latex Template for Nanyang Technological University (NTU)
Swin-Transformer-1
Implementation of Swin Transformer with Pytorch
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
yi-ding-cs.github.io
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