168 Open source projects that are alternatives of or similar to ECG-acquisition-classification

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".

ECG signal classification using Machine Learning

No description or website provided.

“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution

I am taking up the #100DaysOfMLCode Challenge 😎

Deep learning based ECG classification

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

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

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

Kervolution implementation using TF2.0

This is the project page for the iOS app ECG Recorder for Polar H10 heart rate sensor.

Get stress measurement results in your Android app using Welltory heart rate variability algorithms

Python toolbox for Heart Rate Variability

OBSOLETE. Replaced by https://github.com/Protocentral/protocentral-healthypi-v3

Visual place recognition from opposing viewpoints under extreme appearance variations

An implementation of Faster R-CNN applied to vehicle detection.

ECG image classification using deep learning

Deep learning models for guitar amp/pedal emulation using LSTM with Keras.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Distributed Keras Engine, Make Keras faster with only one line of code.

Implementation of a Neural Network that can detect whether a video is in-game or not

Open source ECG holter

C3D for Keras + TensorFlow

Upside Down Lab's Biopotential Amplifier v1.5 - Buy on Tindie at https://bit.ly/BioAmp-v1_5

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

Self driving car in GTAV with Deep Learning

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Q,R,S, detection from ECG

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Denoise of ECG signal with machine learning

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

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

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

Deep neural network to extract intelligent information from invoice documents.

rstudio::conf(2020) deep learning workshop

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

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.

Detect Covid-19 with Chest X-Ray Data

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Deep learning for freehand sketch object recognition

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Official source code of "Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG"

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

Implementation of Very Deep Convolutional Neural Network for Text Classification

Sleep stage detection using ECG

Keras MNIST for Handwriting Detection

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Source for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"

15+ Machine/Deep Learning Projects in Ipython Notebooks

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Using deep learning to detect Atrial fibrillation

Some State-of-the-Art few shot learning algorithms in tensorflow 2