EEG-DLite: Data Distillation for Efficient EEG Foundation Model Training (AAAI-2026)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Let us control diffusion models!

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Python script to stream EEG data from the muse 2016 headset

Thesis Latex Template for Nanyang Technological University (NTU)

Implementation of Swin Transformer with Pytorch

Transfer Learning Library for Domain Adaptation and Finetune.

A collection of AWESOME things about domian adaptation

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 entr…