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awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

bigdata18

Transfer learning for time series classification

braindecode

Outdated, see new https://github.com/braindecode/braindecode

code

ECG Classification

da

Unsupervised Domain Adaptation Papers and Code

ddan

Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

deep-neural-network-for-heartbeat-classification

Focal Loss, Deep Neural Network, Heartbeat Classification, Convolutional Neural Network, CNN, Imbalance

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

dl-ecg-review

A Review of Deep Learning Methods on ECG Data

ecg-arrhythmia-classification

ECG arrhythmia classification using a 2-D convolutional neural network

ecg-classification-using-cnn-and-cwt

ECG Classification, Continuous Wavelet Transform, CWT, Convolutional Neural Network, CNN, Arrhythmia, Heartbeat classification

ecg-kit

A Matlab toolbox for cardiovascular signal processing

ecg-ml-dl-algorithm-matlab

Basic Algorithm For Beginners

ecg_deep

CVD Detection by Deep ECG Learning with MIT-BIH dataset

ecg_pytorch

ecg classfication

hefei_ecg_top1

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

learn2learn

PyTorch Meta-learning Library for Researchers

machinelearningnote

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

metasleeplearner

Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)

mit-bih_ecg_recognition

MIT-BIH ECG data recognition using 1d CNN with tensorflow2

mitab_ecg_cnn_classification

Basic Algorithm For Beginners （Python version）

ml4h

mups

Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification

physionet

A convolutional neural network to detect atrial fibrillation from a single-lead ECG

pytorch-lesson-zh

pytorch 包教不包会

sim_gan

Implementation of paper: SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification

transfer-learning-library

Transfer-Learning-Library

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习