yifeng1992 Goto Github PK

attentionimageclass

Multi-label Image Recognition by Recurrently Discovering Attentional Regions (Pytorch implementation)

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

ce2p

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

django-beginners-guide

A Complete Beginner's Guide to Django 翻译计划

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;欢迎试用、关注并反馈问题...

hello-world

for begin

iccv19_attribute

Code for the paper "Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization", ICCV 2019, http://arxiv.org/abs/1910.04562.

imageprocessing100wen

「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

learnopencv

Learn OpenCV : C++ and Python Examples

ml-gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

multi-human-parsing

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

multi-label-image-classification

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN

opencv-python-tutorial

OpenCV-Python图像处理教程

person-attribute-recognition-marketduke

A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.

person_reid_baseline_pytorch

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

python

最良心的 Python 教程：

python-100-days

Python - 100天从新手到大师

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST

pytorch_tricks

some tircks for PyTorch

residualattentionnetwork-pytorch

a pytorch code about Residual Attention Network. This code is based on two projects from

self-correction-human-parsing

An out-of-box human parsing representation extractor.

single-human-parsing-lip

PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.