yancaoweidaode

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

UULP

Understanding Unix/Linux Programming 练习

yancaoweidaode/UULP

Understanding Unix/Linux Programming 练习

yancaoweidaode/Advanced-Programming-in-the-UNIX-Environment

yancaoweidaode/braindecode

Deep learning software to decode EEG or MEG signals

yancaoweidaode/ccia_code_samples

Code samples for C++ Concurrency in Action

yancaoweidaode/CProxy

基于epoll实现的C++版内网穿透

yancaoweidaode/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

yancaoweidaode/e200_opensource

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

yancaoweidaode/eeg-adapt

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

yancaoweidaode/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.

yancaoweidaode/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.

yancaoweidaode/ibex

Ibex is a small 32 bit RISC-V CPU core, previously known as zero-riscy.

yancaoweidaode/incubator-brpc

Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services. "brpc" means "better RPC".

yancaoweidaode/leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

yancaoweidaode/linux-0.12

《Linux内核完全剖析》linux0.12源码及实验环境

yancaoweidaode/llama.cpp

Port of Facebook's LLaMA model in C/C++

yancaoweidaode/moabb

Mother of All BCI Benchmarks

yancaoweidaode/MyTinySTL

Achieve a tiny STL in C++11

yancaoweidaode/nnstreamer

:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

yancaoweidaode/python-cheatsheet

Comprehensive Python Cheatsheet

yancaoweidaode/pythonGames

python小游戏/乒乓球游戏/滑雪游戏

yancaoweidaode/PyTorch-GANSER

Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"

yancaoweidaode/reading-source-code-of-leveldb-1.23

leveldb 源码阅读，分析 DB 运作流程与 WAL、SSTable 等文件格式与 Compaction 过程。

yancaoweidaode/redis-3.0-annotated

带有详细注释的 Redis 3.0 代码（annotated Redis 3.0 source code）。

yancaoweidaode/share

yancaoweidaode/SincNet-for-Autism-EEG-based-Emotion-Recognition

This project describes the necessary code to implement a EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including data from individuals diagnosed with Autism Spectrum Disorder (ASD). For more details and data request send an email to the authors and contributors Juan Manuel Mayor Torres (juan.mayortorres@unitn.it) and Mirco Ravanelli (mirco.ravanelli@gmail.com)

yancaoweidaode/TensorRT_cookbook

yancaoweidaode/test

yancaoweidaode/test_for_git

yancaoweidaode/Test_for_reset

yancaoweidaode/yancaoweidaode.github.io