Graph Neural Network Library for PyTorch

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

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

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

An Autonomous LLM Agent for Complex Task Solving

Implementation of Graph Convolutional Networks in TensorFlow

A Collection of Variational Autoencoders (VAE) in PyTorch.

A list of popular github projects related to deep learning

Graph Convolutional Networks in PyTorch

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Deep learning software to decode EEG, ECG or MEG signals

Keras-based implementation of Relational Graph Convolutional Networks

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

InceptionTime: Finding AlexNet for Time Series Classification

Python script to stream EEG data from the muse 2016 headset

本科毕设内容：基于卷积神经网络的疲劳驾驶检测。

Hyperbolic Graph Convolutional Networks in PyTorch.

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

Wasserstein Auto-Encoders

EEG Experiments in Python

Implementation of R-GCNs for Relational Link Prediction

TorchEEG is a library built on PyTorch for EEG signal analysis.

Graph Auto-Encoder in PyTorch