PyRookie1's Stars
2dust/v2rayN
A GUI client for Windows, support Xray core and v2fly core and others
xmcp/pakku.js
拯救B站的弹幕体验!
iyear/pure-live-core
✨ Make Live Pure Again
liguge/Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-
Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis(pytorch) 深度残差收缩网络应用于故障诊断
zhao62/Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
The-AI-Summer/self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
KrishnaDN/Emotion-Recognition-Using-MSCNN-SPU
julianyulu/icassp2021-mscnn-spu
Code for our paper "Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention" (ICASSP 2021, co-first authorship)
changkun/modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
Percona-Lab/tpcc-mysql
junhaideng/PyQt
使用PyQt实现的项目
uniquezhiyuan/RadarGUI
PyQt 5 CINRAD雷达基数据处理可视化软件。
Hopetree/TMTools
:tada:一个用PYQT5写的图形化的多功能电商爬虫小工具
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
cangzhang/champ-r
🐶 Yet another League of Legends helper
deep-learning-with-pytorch/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
SleepyBag/Statistical-Learning-Methods
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
INTERMT/Awesome-PyTorch-Chinese
【干货】史上最全的PyTorch学习资源汇总
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
fluentpython/example-code
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
MorvanZhou/Tensorflow2-Tutorial
Tensorflow 2.0 toy examples
RockTeach/PythonCourse
datawhalechina/joyful-pandas
pandas中文教程
jackfrued/Python-100-Days
Python - 100天从新手到大师
zkywsg/Daily-DeepLearning
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial