自然语言处理 拼写检查python源代码

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)

利用深度学习进行遥感图像场景分类 这里我们对NWPU-RESISC45数据集的场景图像进行分类 我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外，还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning Here we classify scene images from NWPU-RESISC45 dataset We apply convolutional neural network to image classification. We start training data sets from scratch. In addition, a pre-trained VGG16 abd ResNet50 is used for migration learning.)

Ce projet a pour but de nous introduire d’une manière pratique aux techniques de traitement automatique du langage naturel

说明：  使用python语言实现对灰度图像的角点检测，并实现匹配(Corner detection and matching of gray image using Python language)

Fundamental solutions for linear isotropic displacements and strains

说明：  abaqus中自动生成材料的微观结构，以及边界条件的施加。同时拥有后处理功能(This plugin provides helpful functionality for setting up and post-processing FE-RVE models. Model setup includes the imposition of far-field loading through periodic or non-periodic boundary conditions, and setting up the loads and analysis steps necessary to perform homogenization of properties or imposition of a far-field load history. Post processing includes determining the homogenized properties of the FE-RVE from the completed analysis as well as performing averaging and statistical analysis of the fields in the whole RVE and within individual RVE constituent)

利用哈工大ltp和nltk工具，生成依存句法分析树(Generating dependency parsing tree by using LTP and nltk tools of Harbin University of Technology)

说明：  验证是否存在cve-2018-2628漏洞(Verify that there is a cve-2018-2628 vulnerability)

说明：  自然语言处理语义分析演讲内容，入门者推荐学习(Text categorized corpus)

说明：  web控制端，下载后看readme进行安装使用(english one two three four five six seven eight nine ten)