python接口测试脚本

近日，西弗吉尼亚大学的博士生Amirsina Torfi在Github上发布了用3D卷积神经网络（后简称3D-CNN）确认说话人身份的代码，并公布了研究论文。我觉得很有用，分享给大家。

Python+Neo4j医药知识图谱自动问答系统源码，知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。(Python+Neo4j Medical Knowledge Atlas Automatic Question and Answer System source code, knowledge atlas construction, automatic question and answer, based on kg automatic question and answer. The knowledge atlas of a certain scale medical field centered on disease is used to complete the automatic question answering and analysis service.)

使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)

Introduction This server uses the Telnet protocol which is not used as much nowadays because HTTP has taken its place. However, it is very simple and light. It does not need a heavy server or complicated methods to write dynamic functions. Almost everything to be sent is based on text. I run a Windows server and I made this program for maintaining the Windows server. This program can be used as a simple monitoring program. You can check whether your server is OK or not via Telnet. The things you need to do are simply add a script or modify some Python code. Background This server is written using the Telnet protocol, ANSI code, and ZModem. These are not common these days. So if you were familiar with this protocol, you could modify it for your purposes. If you know the Python language, you can understand the code easily.

python机器学习算法实战里KNN 算法代码。

本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)

Pytho实现语言bp神经网络，内含数据集，适合初学者。(Pytho implementation language bp neural network, containing data sets for beginners.)

机器学习实战第三章编程实现：使用决策树预测隐形眼镜类型。(Machine Learning Practical Combat Chapter 3 Programming Realization)

说明：  利用遗传算法、蚁群算法、PSO等对SVM模型进行优化，实现高效分类和回归预测(The SVM model is optimized by genetic algorithm, ant colony algorithm and PSO to achieve efficient classification and regression prediction.)

一个BP神经网络解决分类问题，数据集是Iris数据集(Here is a bp ANN for classify,the dataset used is the Iris dataset)