python 跳一跳刷分

说明：  keras/pytorch实现crnn+ctc实现不定长中文OCR识别 文字方向检测 0、90、180、270度检测 文字检测 后期将切换到keras版本文本检测 实现keras端到端的文本检测及识别 不定长OCR识别(Kernas/pytorch Implementation of crnn+ctc for Uncertain Length Chinese OCR Recognition Text Direction Detection 0,90,180,270 Degree Detection Text detection will switch to keras version in the later stage of text detection to realize keras end-to-end text detection and recognition Uncertain Length OCR Recognition)

机器学习中经典的猫狗大战比赛程序实现，基于vgg16网络训练完成(The implementation of the classical cat-dog contest program in machine learning based on vgg16 network training)

这个文件中写了对于一个德国医药品牌在中国销售额基于时间的预测，运用了机器学习算法。(This document describes a time-based forecast of sales of a German pharmaceutical brand in China, using machine learning algorithms.)

本文是2016 台湾资料科学年会前导课程“一天搞懂深度学习”的全部讲义PPT（共268页），由台湾大学电机工程学助理教授李宏毅主讲。作者在文中分四个部分对神经网络的原理、目前存在形态以及未来的发展进行了介绍。深度学习的每一个核心概念在文中都有相关案例进行呈现，通俗易懂。一天的时间搞懂深度学习？其实并不是没有可能。(This is the entire handout PPT (268 pages in total) of "a day to understand deep learning", the leading course of the 2016 Taiwan annual conference of data science. It was given by li hongyi, assistant professor of electrical engineering at Taiwan university.In this paper, the author introduces the principle, existing form and future development of neural network in four parts.Each core concept of deep learning is presented in relevant cases, which are easy to understand.)

说明：  ODL python数据处理，用于医学影像重建，包括MLEM、FBP算法等(ODL Python data processing for medical image reconstruction, including MLEM, FBP algorithm, etc)

介绍了python黑客功防所需要使用的各个技术，及其方法(python Hacker defence)

专家系统课程实验-疾病分类 简单的疾病分类-13种疾病 使用Python版的CLIPS - pyknow(EXPERIMENTAL EXPERIMENT OF EXPERT SYSTEM COURSE-DISEASE CLASSIFICATION Simple Classification of Diseases - 20 Diseases Using the Python version of CLIPS - pyknow)

实时消息更新，实时用户上线显示快捷注册快捷登陆表情支持

python 爬虫 可配置url 过滤列表 调整线程，代码质量很高，学习佳品(Python crawler can configure the URL filter list adjust thread, high quality code, learning to share)

abaqus周期性边界条件代码，可以参考学习(Periodic boundary conditions)