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awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

controlnet

Let us control diffusion models!

eeg-deformer

A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)

emt

This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.

fedformer

gign

[EMBC-23] This is the PyTorch implementation of GIGN

lgg

[TNNLS-2023] This is the PyTorch implementation of LGGNet.

masa-tcn

[IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN

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)

pythonmuse

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".

swin-transformer-1

Implementation of Swin Transformer with Pytorch

thesis_template_ntu

Thesis Latex Template for Nanyang Technological University (NTU)

transfer-learning-library

Transfer Learning Library for Domain Adaptation and Finetune.

tsception

[TAFFC-2022] PyTorch implementation of TSception v2

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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