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Name: Ping Yang
Type: User
Name: Ping Yang
Type: User
Anomaly detection related books, papers, videos, and toolboxes
A list of anomaly detection and classification papers for robotics and the other area
对同步采集的三个信号:PPG、ECG、BP进行特征提取的matlab程序
To predict t
Keras code and weights files for popular deep learning models.
List of papers, code and experiments using deep learning for time series forecasting
深度有趣
TensorFlow分布式MNIST手写字体识别实例
A Review of Deep Learning Methods on ECG Data
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
g2o: A General Framework for Graph Optimization
Time series prediction with Sequential Model and LSTM units
A Keras implementation of YOLOv3 (Tensorflow backend)
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
LaTeX template for BIT thesis
Python library for audio and music analysis
multiple input, multiple output support vector regression
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Multimodal peak detection using ECG, ABP, PPG or SV
Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for the 2015 IEEE Signal Processing Cup (SP Cup) competition. The traces are stored in folder 'DATABASE'. Please cite this publication when referencing this material: "Measuring Heart Rate During Physical Exercise by Subspace Decomposition and Kalman Smoothing", IEEE Transaction on Instrumentation & Measurement.
Extract quality heart rate segments from noisy/motion affected raw PPG measurements
Obtain heart rate and SpO2 level from PPG data
scikit-learn: machine learning in Python
The paper list about skeleton-based action recognition.
An implementation referencing "Hsu, YungChien, Yen-Liang Lin, and Winston Hsu. "Learning-based heart rate detection from remote photoplethysmography features." Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on. IEEE, 2014."
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
本项目主要对原tensorflow-yolov3版本做了许多细节上的改进,增加了TensorFlow-Serving工程部署,训练了多个数据集,包括Visdrone2019, 安全帽等, 安全帽mAP在98%左右, 推理速度1080上608的尺寸大概25fps.
TensorFlow Tutorial for Time Series Prediction
A TensorFlow implementation of DeepMind's WaveNet paper
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.