36 Open source projects that are alternatives of or similar to ecg-denoise

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Matlab toolbox for calculating Heart-Rate Variability metrics on ECG signals

This is the project page of our paper which has been published in ECCV 2020.

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

Toward Convolutional Blind Denoising of Real Photograph

Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

Dictionary Learning for image processing

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training

U-Net for fingerprint denoising

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

Python toolbox for Heart Rate Variability

A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.

ECG signal classification using Machine Learning

Rethinking Noise Synthesis and Modeling in Raw Denoising (ICCV2021)

pure Python implement of BM3D

Prediction of Blood Pressure from ECG and PPG signals using regression methods.

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

Source code of "A Single Model CNN for Hyperspectral Image Denoising"

(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

A wavelet audio denoiser done in python

Aydin — User-friendly, Fast, Self-Supervised Image Denoising for All.

Discover, install, and share napari plugins

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & Machine Learning

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

SwinIR: Image Restoration Using Swin Transformer (official repository)

A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"