stephenrui's Stars
torvalds/linux
Linux kernel source tree
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
datawhalechina/daily-interview
Datawhale成员整理的面经,内容包括机器学习,CV,NLP,推荐,开发等,欢迎大家star
jveitchmichaelis/deeplabel
A cross-platform desktop image annotation tool for machine learning
abreheret/PixelAnnotationTool
Annotate quickly images.
forthespada/InterviewGuide
🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总,包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结,坚持学习,持续成长!
ChenjieXu/selective_search
Python implementation of selective search
azl397985856/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
wzpan/cmake-demo
《CMake入门实战》源码
Blitzer207/C-Resource
黑马程序员匠心之作|C++教程从0到1入门编程
my3rs/ImageQt
数字图像处理——基于Qt 5.8.0
cruxopen/openISP
Image Signal Processor
jiafeng5513/Evision
计算机视觉实践和探索/Practice and explorations in computer vision.
JakubVojvoda/design-patterns-cpp
C++ Design Patterns
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
rhyspang/CPP-Design-Patterns
C++设计模式
unisoc/hal_uwp5
HAL libraries for UNISOC uwp5 series SOC.
mandliya/algorithms_and_data_structures
180+ Algorithm & Data Structure Problems using C++
BBuf/Image-processing-algorithm
paper implement
mushfiqulalam/isp
camera pipeline
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
liu-jianhao/Cpp-Design-Patterns
C++设计模式
xtaci/algorithms
Algorithms & Data structures in C++.
marcogulino/AndroidUsbCamera
Android USB Camera Driver/Bridge for GNU/Linux
hzy46/Char-RNN-TensorFlow
Multi-language Char RNN for TensorFlow >= 1.2.
experiencor/keras-yolo3
Training and Detecting Objects with YOLO3
zzh8829/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0
ayooshkathuria/pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
zhengyima/mnist-classification
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
cchangcs/trash-classification
基于TensorFlow和Keras的智能垃圾分类系统,用于参加**软件杯双创大赛。