zhu-yu-peng
Keywords: computer vision, machine learning, statistical analysis, bioinformatics
Phd of Nanjing Agricultural UniversityNanJing, China
Pinned Repositories
Attention-mechanism-implementation
对常用的注意力机制模块总结，可用于深度学习模型的改进
Deep-learning-for-image
用于图像处理的一些深度学习模型总结，主要用于分类、目标检测、语义分割等任务
eat_tensorflow2_in_30_days
本教程用于深度学习的基础阶段学习，采用的API框架为tensorflow 框架
Fast-rcnn-pytorch-
pytorch 版本的fast-rcnn 目标检测网络
fastter-rcnn-keras
Faster-Rcnn：Two-Stage目标检测模型在Keras当中的实现
machine-learning-doc-of--sckit-learn-
机器学习中文教程（大自然的搬运工）
Mgwas
表型组，代谢组，全基因组关联分析（搬运）
pytorch-yolov-5
yolov5 的essay官方源码
Time-Series-Forecast
时间序列模型LSTM 用于时序数据量化分析
yolov5-tf2-main
keas 版本yolov5
zhu-yu-peng's Repositories
zhu-yu-peng/eat_tensorflow2_in_30_days
本教程用于深度学习的基础阶段学习，采用的API框架为tensorflow 框架
zhu-yu-peng/Attention-mechanism-implementation
对常用的注意力机制模块总结，可用于深度学习模型的改进
zhu-yu-peng/Deep-learning-for-image
用于图像处理的一些深度学习模型总结，主要用于分类、目标检测、语义分割等任务
zhu-yu-peng/Time-Series-Forecast
时间序列模型LSTM 用于时序数据量化分析
zhu-yu-peng/Fast-rcnn-pytorch-
pytorch 版本的fast-rcnn 目标检测网络
zhu-yu-peng/Mgwas
表型组，代谢组，全基因组关联分析（搬运）
zhu-yu-peng/yolov5-tf2-main
keas 版本yolov5
zhu-yu-peng/CloudCompare
CloudCompare is a 3D point cloud (and triangular mesh) processing software. It was originally designed to perform comparison between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular mesh. It relies on an octree structure that is highly optimized for this particular use-case. It was also
zhu-yu-peng/convnext_tiny_yolov5
zhu-yu-peng/Data-enhancement
用于语义分割、目标检测的数据增强工具
zhu-yu-peng/deep-learning-for-image-processing-1
deep learning for image processing including classification and object-detection etc.
zhu-yu-peng/fastter-rcnn-keras
Faster-Rcnn：Two-Stage目标检测模型在Keras当中的实现
zhu-yu-peng/HwangTaehyun
My GitHub Profile. Before Fork it, Star it, Please :star:
zhu-yu-peng/introduction
zhu-yu-peng/machine-learning-doc-of--sckit-learn-
机器学习中文教程（大自然的搬运工）
zhu-yu-peng/pytorch-yolov-5
yolov5 的essay官方源码
zhu-yu-peng/SSD--pytorch
SSD，全称Single Shot MultiBox Detector，是Wei Liu在ECCV 2016上提出的一种目标检测算法，截至目前是主要的检测框架之一，相比Faster RCNN有明显的速度优势，相比YOLO又有明显的mAP优势
zhu-yu-peng/Time-Series-Forecast-master
zhu-yu-peng/yolact-tensorflow
Yolact-tensorflow2实例分割模型在tensorflow2当中的实现
zhu-yu-peng/zhu-yu-peng