graph plotter

说明：  以图像处理和knn算法为基础，利用knn算法，在python开发环境中设计了一个手写数字识别系统，该系统采用28*28的模板对图新分成784块提取手写数字的784个特征，在二值图像数据基础上，通过朴素贝叶斯分类器算法，对0~9这十类手写数字进行学习和分类。(Based on image processing and KNN algorithm, a handwritten digit recognition system is designed in Python development environment by using KNN algorithm. The system uses 28*28 template to divide the graph into 784 blocks to extract 784 features of handwritten digits. On the basis of binary image data, it learns and classifies the ten types of handwritten digits, 0-9, through Naive Bayesian classifier algorithm.)

说明：  ABAQUS 脚本生成节点信息，计算J积分(J-Integral calculation using ABAQUS)

example used in Python & VTK

Neural Network for Model Predictive Control

used by winfof for read write

人工智能 caffe 用与ssd yolo(Artificial intelligence SSD Yolo)

在python中使用pywt实现小波包变换 ，可用于时间序列的处理

python文件，可以对新闻等文本进行分词，然后根据每个词出现的次数进行排序，展示出现次数最多的词语，形成词云。(Python file, can be news and other text segmentation, and then according to the number of times each word to sort, show the most frequently appeared words, the formation of word cloud.)

能够提取图片纹理特征，并使用SVC实现图片多分类(It can extract image texture features and use SVC to realize multi-classification of images.)

对哔哩哔哩弹幕进行抽取并完成情感倾向的分析和估计(To extract bilibili barrage and complete the analysis and estimation of emotional tendency)