NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.

Swin-Transformer 1D implements

A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

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

Mamba-UNet Zoo

[NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."

The official repository of paper "ViTime: A Visual Intelligence-based Foundation Model for Time Series Forecasting"

使用深度学习对人体心电数据进行多分类

Deep learning ECG models implemented using PyTorch

ECG classification programs based on ML/DL methods

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

Official PyTorch repository for Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, ICASSPW 2023.

time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

Digital signal processing for neural time series.

A Library for Advanced Deep Time Series Models.

This project presents a novel approach for J peak detection in Heart-Rate monitoring. The proposed approach employs accelerometers to collect Ballistocardiogram (BCG) data for short-term HRV monito…

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer".

Multivariate Time Series Transformer, public version

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

Open-source code of TransGTR.

Papers about graph transformers.

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

[CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".