tianshizhilei98305 Goto Github PK

bcilab

MATLAB Toolbox for Brain-Computer Interface Research

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning.ai-notes

吴恩达《深度学习》学习笔记(xmind)、代码视频讲解

dogs-vs-cats

Multiple Imagenet frameworks used for "dogs vs cats"

download

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

ecg_cls

pytorch_classification_ecg

ecogvis

Time series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.

eeg-decoding

Implemented CNN and RNN with PyTorch to learn and predict EEG dataset.

eeg-pytorch

EEG motor-imagery data analysis using MNE and Pytorch

eeg_classification

Implementing different deep learning architecture using pyTorch to classify EEG signals.

eeglearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

eegnet

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

fill_missing_values

haarcascades

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

iphys-toolbox

A MATLAB toolbox for iPPG analysis. The toolbox includes implementations of commonly used methods.

keras_metrics

Some Metric Implementation in Keras (Such as Pearsons Correlation Coefficient, Mean Relative Error)

learn-opencv-in-3-hours

machine_learing_study

moabb

Mother of All BCI Benchmarks

mtts-can

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

person_-detection_by_haar-cascades

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.

ppgi-toolbox

A MATLAB toolbox for Photoplethysmography Imaging

pytorch-book

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》)

pyvhr

Python framework for Virtual Heart Rate

stven_rppgnet

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-tutorials

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。

timesformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

zh-nlp-demo

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