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Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
互联网首份程序员考公指南,由3位已经进入体制内的前大厂程序员联合献上。
《计算机网络-自顶向下方法(原书第6版)》编程作业,Wireshark实验文档的翻译和解答。
demo
学习计算机视觉的道路上
Various projects using Open CV
A technical report on convolution arithmetic in the context of deep learning
CS512: Computer Vision Assignments
胸部罩杯分类器
自学计算机视觉的一些算法实现和总结
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论(STAT 157)”教材。
最简洁的实现Python数据结构
💾 db-tutorial 是一个数据库教程。
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Deep Learning for Computer Vision, by Packt
Keras code and weights files for popular deep learning models.
Jupyter notebooks for using & learning Keras
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A paper list of object detection using deep learning.
Simple Online Realtime Tracking with a Deep Association Metric
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
Here, I have demonstrated the use of Multi-task Cascaded Convolutional Neural Networks, [MTCCNN](https://github.com/xiangrufan/keras-mtcnn) for deep face detection and [faceNet](https://arxiv.org/pdf/1503.03832.pdf) for encoding of the aligned faces. Recognition is then performed by matching the faces detected in the test images with the already enrolled or registered faces using euclidean distances.
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
A collection of various deep learning architectures, models, and tips
数字频率计Digital frequency meter FPGA Verilog
Mirror site for http://woodpecker.org.cn/diveintopython3/
深度学习工程模板
Official documentation for the Raspberry Pi
Official electron build of diagrams.net
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.