Pinned Repositories
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
apollo
An open autonomous driving platform
awesome-machine-learning-cn
机器学习资源大全中文版,包括机器学习领域的框架、库以及软件
awesome-phenotyping-deep-learning
awesome deep learning for field phenotyping
awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
CarND-Vehicle-Detection
Vehicle Detection Project
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Crop-Density-Estimation-from-Imagery
Here is the matlab code to reproduce the work in paper: Estimation of Wheat Plant Density at Early Stages Using High Resolution Imagery
darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
wheat-hg
Localisation and classification of wheat features using a stacked hourglass CNN
zfkseu's Repositories
zfkseu/awesome-phenotyping-deep-learning
awesome deep learning for field phenotyping
zfkseu/sorghum-head
Aerial Imagery Analysis—Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy
zfkseu/STM32-NOTE
Some notes made when learning STM32
zfkseu/NXP_12th_BalanceCar
2017 年第十二届全国大学生“恩智浦”杯智能汽车竞赛全国一等奖 - 匿名队伍
zfkseu/wheat-hg
Localisation and classification of wheat features using a stacked hourglass CNN
zfkseu/CarND-Vehicle-Detection
Vehicle Detection Project
zfkseu/Crop-Density-Estimation-from-Imagery
Here is the matlab code to reproduce the work in paper: Estimation of Wheat Plant Density at Early Stages Using High Resolution Imagery
zfkseu/Encyclopedia
A reference work containing articles introducing many different subjects concisely..
zfkseu/hello-world-new
Just another repository
zfkseu/Qix
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
zfkseu/hello-world
My first repository just for learning github
zfkseu/data-science-blogs
A curated list of data science blogs
zfkseu/awesome-machine-learning-cn
机器学习资源大全中文版,包括机器学习领域的框架、库以及软件
zfkseu/OtsuPyre
Blazingly Fast Approximation of Otsu's Multi-threshold Method