RDP Wrapper Library

RDPWrap.ini for RDP Wrapper Library by Stas'M

📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

Python机器学习算法技术博客，有原创干货！有code实践！ 【更多内容敬请关注公众号 "算法进阶"】

1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍

A Deep Learning approach for robust R Peak detection in noisy ECG.

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.

Using self-supervised learning to extract features from PPG signals

Implementation of our Self-Supervised Learning framework for PPG signal representation, as detailed in 'Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability.'

This repository contains scripts and data for Emotion Recognition based on Self-Supervised Learning from ECG signals

In this repo, I've implemented classifier for ECG signals. I've used Self-Supervised Contrastive Learning(SSCL) for this purpose. details are illustrated in the notebook.

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Python Heart Rate Analysis Package, for both PPG and ECG signals

Self-supervised contrastive learning for time series via time-frequency consistency

A Python module to detect events in data

动作识别小程序，包含了完整python项目代码，微信小程序源码以及数据集

IndoorHIIT Motion Recognition, including python code, WeChat mini program and dataset

天池比赛，kaggle，点石

List of datasets, codes, and contests related to remote sensing change detection

InSAR (Interferometric Synthetic Aperture Radar) timeseries analysis in python

天池比赛，kaggle等等（Keras/PyTorch实战）

framework for large-scale SAR satellite data processing

Siamese Network implementation using Pytorch

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Implementation of Deep Temporal Clustering.