Kaen's repositories
crack-detection-in-buildings
State of the art Deep Neural Network to detect crack detection in buildings.
crack-detection-system
It detect crack in building using Deep learning and computer vision.
crack-label-tool
这是一个使用Python和PyQt5开发的一个计算机视觉辅助裂缝标注工具，标注工具先用边缘检测和形态学方法预识别裂缝，然后人工对结果进行标涂或擦除。除了此方法，工具还有其他多种方法，详情请见readme.md的介绍
Detecting_Cracks_In_Buildings
Image classification Deep Learning model to detect cracks in buildings
DRL-urban-planning
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
Ground-Cracks-Net
Neural Network for recognizing parameters of earth cracks by their photos
hands-on-data-analysis
动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果
highway_crack_detection
finding cracks in highway using some pattern recognition and machine learning methods.
HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese).
light_mappo
Lightweight version of MAPPO to help you quickly migrate to your local environment.
Neural_Net-for-Concrete-Crack-Detection
Building a neural network using Crack detection dataset created by SDNET2018
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
Python
All Algorithms implemented in Python
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
team-learning-program
主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。
yolact_edge
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.