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刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Implementation of Papers on Adversarial Examples
基于最小错误率贝叶斯的QT/C++手写字符识别系统| QT/C++ implement of Handwritting digit recognition using minimum error rate bayes
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)
CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Build your neural network easy and fast, 莫烦Python中文教学
multiple camera self calibration Toolbox
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to k…
A PyTorch implementation of center loss on MNIST
Pytorch implementation of Center Loss
Coding the Machine Learning Tutorial for Learning to Learn
A programmable and highly maneuverable robotic cat for STEM education and AI-enhanced services.