yushaodong Goto Github PK

a3net

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

cifar-10_classification-using-traditional_ml

Classification of images into 10 classes using traditional machine learning methods

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cpanet

crossstagepartialnetworks

Cross Stage Partial Networks

deep-learning-approach-for-surface-defect-detection

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deye

Keep an Eye on Defects Inspection.

dress

好耶 是女装

face-seg

Semantic segmentation for hair, face and background

hyperspectral-autoencoders

Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

learnopencv

Learn OpenCV : C++ and Python Examples

libfacedetection

An open source library for face detection in images. The face detection speed can reach 1500FPS.

machine-learning-for-opencv-second-edition

Machine Learning for OpenCV Second Edition, published by Packt

machine-learning-session

magnetic-tile-defect-datasets

dataset of the upcoming paper "Saliency of magnetic tile surface defects"

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

mri-u-net

基于U-net和MRI图像的膀胱壁边缘以及膀胱肿瘤检测

mshnet

Multi-similarity based Hyperrelation Network for Few-Shot Segmentation

pandoc

Universal markup converter

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

pytorch-mask-rcnn

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

res2net-pretrainedmodels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

resnext.pytorch

Reproduces ResNet-V3 with pytorch

segmentation_with_my_dataset

using u-net train my own dataset in Pytorch