Free-form deformation自由变形

说明：  SVDD用于实现异常点检测，为一种单分类器。(SVDD is a single classifier for outlier detection.)

穿透式CTP—API，python可直接调用进行穿透式测试！(Penetrating CTP - API, Python can be directly called for penetrating testing!)

None Coding not anything to do

说明：  使用tensorflow构建简单的神经网络，实现Mnist任务(We used tensorflow framework to build a simply neural network,and finished the task of Mnist classification.)

说明：  ACL 2020图神经网络（GNN）相关论文——自动摘要。本文提出了一种基于图的异构神经网络抽取摘要算法(HeterSUMGraph)，该算法除句子外，还包含不同粒度的语义节点。这些额外的结点起到句子之间的中介作用，丰富了句子之间的关系。(ACL 2020 graph neural network (GNN) related papers-automatic summary. This paper proposes a graph-based heterogeneous neural network extraction summary algorithm (HeterSUMGraph), which contains semantic nodes with different granularities in addition to sentences. These extra nodes act as an intermediary between sentences, enriching the relationship between sentences.)

UR机器人脚本语言,里面是V3.5版本，使用UR机器人做上位机控制的时候方便查询(Script of UR robot)

说明：  keras 不平衡分类的loss损失函数的python 实现(Loss implementation of keras imbalance classification)

语音端点监测，用于检测一个单词或一段语音结束后的静默区间，主要用于人工智能语音识别(voice detection, used to detect the symbol of finish of one word or one graph, mainly for AI speech recognition)

PYTHON核心教程，PYTHON开发必读(PYTHON core curriculum, PYTHON development of reading)

这本书提供自然语言处理领域非常方便的入门指南。 它可以用来自学， 也可以作为自然 语言处理或计算语言学课程的教科书，或是人工智能、文本挖掘、语料库语言学课程的补充 读物。本书的实践性很强，包括几百个实际可用的例子和分级练习。(This book provides a very convenient entry guide for Natural Language Processing. It can be used for self-study or for nature. Textbooks for language processing or computational linguistics, or supplements to courses in artificial intelligence, text mining, Corpus Linguistics Reading. This book is highly practical, including hundreds of practical examples and grading exercises.)