资源列表
vivaTracker-master
- This project contains a collection of visual tracking algorithms implemented in C++ and/or C. The idea of the project is to help you create, unify, compare and publish your visual tracking algorithms. We also include public tracking datasets for easy
Python语言在Abaqus中的应用
- 特别好的学习资料，学习二次开发特别好好，希望你呢个帮助每一个需要的人(Very good learning materials)
btm-master
- BTM模型，短文本相似度的处理模型，计算短文本相似度(BTM model, processing model of short text similarity)
Machine Learning with TensorFlow
- 机器学习 人工智能 决策树 随机森林 机器学习 人工智能 决策树 随机森林(machine learning tensor flow intelligent artifish)
fast-fourier-transforms-22.1
- FT是一种FT的高效算法，称为快速傅立叶变换（fast Fourier transform），它根据离散傅氏变换的奇、偶、虚、实等特性，对离散傅立叶变换的算法进行改进获得的。(FT is an efficient algorithm for DEFT, called fast U Lie transform (fast Fourier transform). It is obtained by improving the algorithm of discrete U Lie transform
pid
- 此文档详细介绍了先进pid控制原理，欢迎大家一起学习交流(This document describes the advanced PID control principle in detail, and welcome all of you to learn and communicate with each other.)
负泊松比参数化建模
- 基于Python对abaqus二次开发，参数化建立负泊松比模型的程序(Based on Python for ABAQUS two development, parametric establishment of negative Poisson's ratio model program)
FOA
- 果蝇优化算法的学习，基础入门，包含一个求最小值的程序。(A book describes the Fruit fly optimization algorithm,it's a basic introduction of FOA.)
非线性UEL
- 基于abaqus编辑的非线性用户自定义单元(the nonlinear element based on abaqus)
UEL_HELP
- abaqus编辑用户自定义单元(UEL)时的帮助文件(the help for abaqus UEL)
3D9N_UEL
- 基于abaqus编辑的UEL用户自定义单元，3D9N单元(the 3D9N element based on abaqus)
2D4N_UEL
- 基于abaqus编辑的用户自定义单元，二维四节点单元(the uel for 2d ELEMENT based on abaqus)