The codes of paper "Electrocardio Panorama: Synthesizing New ECG views with Self-supervision"

Convert scikit-learn models to PyTorch modules

Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.

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

A fully invertible U-Net for memory efficiency in Pytorch.

Lightning fast C++/CUDA neural network framework

Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs/2301.10540.

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

Fast and memory-efficient exact attention

ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.