Luyi-louise

SpectralNormalizationKeras

Spectral Normalization for Keras Dense and Convolution Layers

physionet2017

PhysioNet 2017 Entry: AF Classification from a short single lead ECG recording

ecg-analysis-mit-bih

I test different approaches to analysing electrocardiograms and test them on the MIT-BIH Arrhythmia Database.

ECG-acquisition-classification

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

ecg-deep-segmentation

Design and implementation of deep learning models trained for automated annotation of ecg signal with various preprocessing steps.

ecg-data-preprocessing

GUI for viewing ECG signal for correcting annotations and classifying correct QRS complex along with algorithmic classification.

ECGMITBIH

Read and store ECG signals and Annotations For Mit-Bih Data Set Using WFDB Python Library

bss_ecg

PhysioNet-compliant ECG signal visualiser with support for annotations

SignalAnnotation

Annotate signal, timeseries, waveforms...

ecg_annotation

Deep-Learning-Based-ECG-Annotator

Annotation of ECG signals using deep learning, tensorflow’ Keras

EcgEditor

EcgEditor is a java application for viewing, annotating and analyzing ECG measurements stored in the Unisens data format

TextMatch

QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索（bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….）

models

Models and examples built with TensorFlow

GwcNet

Group-wise Correlation Stereo Network, CVPR 2019

CapsNet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Capsule-Text-Classification

利用keras搭建的胶囊网络（capsule network文本分类模型，包含RNN、CNN、HAN等，其中keras_utils包含了capsule层和attention层的keras实现

CapsNet-Keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

CapsGNN

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Capsule

A Capsule Implement with Pure Keras

focal_loss_multi_class

mutil-class focal loss implemented in keras

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

ECG_MIT_BIH_Arryhthmia_2D_CNN

Use 2D-CNN to deal with mit_bih_arryhthmia dataset (python)

python-classifier-2020

Python example classifier for the PhysioNet/Computing in Cardiology Challenge 2020

KGCN_Keras

A Pure Keras Implementation of Knowledge Graph Convolution Network for Recommendation

ECG-Arrhythmia-Classification-in-2D-CNN

This is an implementation based on this paper, "ECG arrhythmia classification using a 2-D convolutional neural network", Tae Joon Jun et al., CVPR 2018." with some personal modifications

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

arrhythmia-cnn

2D CNN to classify different types of arrhythmia from ECG Signals

keras-resnet

Keras package for deep residual networks

GRIPy

GRIPy goes Python 3