AviatorYan's repositories
ecgxai
Neatly packaged AI methods for explainable ECG analysis
fairseq-signals
A collection of deep learning models for ECG data processing based on fairseq framework
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
BioPsyKit
A Python package for the analysis of biopsychological data.
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
mingw-builds-binaries
MinGW-W64 compiler binaries
Electrocardio-Panorama
The codes of paper "Electrocardio Panorama: Synthesizing New ECG views with Self-supervision"
minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
hrv-covid19
COVID-19 and Wearables Open Data Research
biometricECG
An ECG based biometric model for specialised authentication systems
ECG-Authentication
Deep learning model to identify ECG signals and tell their similarity
FMM
Rhythmic Patterns Modeling by FMM Models
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
XGBoost-FastForest
Minimal library code to deploy XGBoost models in C++.
SE-MSCNN-A-Lightweight-Multi-scaled-Fusion-Network-for-Sleep-Apnea-Detection-Using-ECG-Signals
Sleep Apnea detection, SA, CNN, ECG signals
sleep-apnea
Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events
ECGdeli
This is ECGdeli - A selection of delicious algorithms for ECG delineation
Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network
Obstructive Sleep Apnea, OSA, CNN, ECG signal, LeNet5
MFDFA
Multifractal Detrended Fluctuation Analysis in Python
Info_Commn-LZ77
Lempel-Ziv Source Coding (C++ implementation)
sleep_apnea
ECG Sleep Apnea Detection
paper-reading
比做算法的懂工程落地，比做工程的懂算法模型。
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
LempelZiv
GUI program for file compression/decompression developed with Qt framework
pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
Siamese-keras
这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。
evaluation-2020
Evaluation code for the PhysioNet/Computing in Cardiology Challenge 2020
sparse-som
Efficient Self-Organizing Map for Sparse Data
ecg
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network