yancaoweidaode Goto Github PK

followers: 1.0 following: 0.0 repos: 47.0 gists: 0.0

Name: Qu Zongfu

Type: User

Bio: Good Afternoon, Good Evening and Good Night.My main research direction is brain-computer interface.I am more interested in edge computing and linux.

Location: Beijing

Qu Zongfu's Projects

advanced-programming-in-the-unix-environment

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bidaf-pytorch

Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.

braindecode

Deep learning software to decode EEG or MEG signals

ccia_code_samples

Code samples for C++ Concurrency in Action

cproxy

基于epoll实现的C++版内网穿透

cs-base

图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

dureader

Baseline Systems of DuReader Dataset

dureader_qanet_bidaf

Using QANet and BiDAF on DuReader datasets

e200_opensource

Deprecated, please go to next generation Ultra-Low Power RISC-V Core https://github.com/riscv-mcu/e203_hbirdv2

ece-c247-eeg-gan

GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

eeg-adapt

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

eeg-transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

flask

The Python micro framework for building web applications.

gcca

Generalized Canonical Correlation Analysis

gcram

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.