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Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.
Maven + Mysql + Shiro + SpringMVC + Spring
Group Sparse Representation for Kronecker Compressive Sensing, Image Process. Image Under. (IPIU) 2016
Reference implementations of popular deep learning models.
Keras implementations of Generative Adversarial Networks.
Keras implementation of Non-local Neural Networks
Residual networks implementation using Keras-1.0 functional API
借助开源项目,学习软件开发
北京大学课程资料整理
Matlab implementation of lineLBP (Local binary Pattern) image
S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.
OpenMMLab Text Detection, Recognition and Understanding Toolbox
A PyTorch implementation of center loss on MNIST
MUUFL Gulfport Hyperspectral and LIDAR Data: This data set includes HSI and LIDAR data, Scoring Code, Photographs of Scene, Description of Data
[C/C++] Run Netkeeper on OpenWrt Device
Keras implementation of Pedestrian detection and classification using Faster RCNN model.
Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.
:rainbow:Python3网络爬虫实战:VIP视频破解助手;GEETEST验证码破解;小说、动漫下载;手机APP爬取;财务报表入库;火车票抢票;抖音APP视频下载;百万英雄辅助;网易云音乐下载;B站视频和弹幕下载;京东晒单图下载
基于PyTorch实现Mnist数据识别
Pytorch implementation of Center Loss
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch structural similarity (SSIM) loss
Naive implementation of SENet in Keras
Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.
小小记账本,拥有基础记账功能,是一个完整的JAVA (J2SE) 练手+自用的小项目,使用Swing和SQLite数据库,多层设计
This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.