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MATLAB Toolbox for Brain-Computer Interface Research
deep learning for image processing including classification and object-detection etc.
吴恩达《深度学习》学习笔记(xmind)、代码视频讲解
Multiple Imagenet frameworks used for "dogs vs cats"
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw
pytorch_classification_ecg
Time series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.
Implemented CNN and RNN with PyTorch to learn and predict EEG dataset.
EEG motor-imagery data analysis using MNE and Pytorch
Implementing different deep learning architecture using pyTorch to classify EEG signals.
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
My first brush with haar training in line with the paper by Viola and Jones, "Rapid object detection using a boosted cascade of simple features", Computer Vision and Pattern Recognition, 2001
A MATLAB toolbox for iPPG analysis. The toolbox includes implementations of commonly used methods.
Some Metric Implementation in Keras (Such as Pearsons Correlation Coefficient, Mean Relative Error)
Mother of All BCI Benchmarks
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
Early approaches for Human Detection In this section, I would focus on Haar cascade and HOG based approaches for human detection. Haar Cascades for Human Detection Haar feature based approach for object detection is proposed by Paul Viola and Michael Jones in their paper “Rapid Object Detection using a Boosted Cascade of Simple Features” published in 2001. This approach is widely used for Face Detection.
A MATLAB toolbox for Photoplethysmography Imaging
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Python framework for Virtual Heart Rate
Main code of "Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement"
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
自然语言处理NLP在中文文本上的一些应用,如文本分类、情感分析、命名实体识别等
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.