joy19920609 Goto Github PK

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2018aicity_teamuw

Source code of the winning method in Track 1 and Track 3 at the AI City Challenge Workshop in CVPR 2018.

2019gmcm

2019年第十六届华为杯数学建模竞赛F题第一名论文附代码

abc

Artificial Bee Colony (ABC) algorithm implementation.

ailearning

Just a reposity for my personal course project.

bp-neural-network-matlab

BP Neural Network in Matlab.

cal_pnp

C++ implementation of semi-automatic camera calibration based on Perspective-n-Point (PnP)

camera

Camera Experiment

crawler-for-baiduimage

crawler for baiduImage

damai

Damai Website Ticket Snatching Software

datapreprocessing

数据预处理过程(属性选择, 异常值处理, 归一化, 标准化等)

entropy_weight_method

[评价方法]信息熵理论与熵权法 Information entropy theory&Entropy weight method

filtering-your-useless-data-in-excel

Using Principle 3σ to find your error data in Excel

firefly-monte-carlo

Implementation of an algorithm for Markov chain Monte Carlo with data subsampling

firefly_algorithm

PSO algorithm for MOO

flydra

multi-camera tracking system

gwo

Grey wolf Optimization

gwo_rbf_svm

It is a project of SVM optimization algorithm which use the Grey Wolf Optimizer

hybrid-gwopso-optimization

This script implements the hybrid of PSO and GWO optimization algorithm.

intelligentoptimizationalgorithms

This repository displays the demos of some Intelligent Optimization Algorithms, including SA (Simulated Annealing), GA (Genetic algorithm), PSO (Particle Swarm Optimizer) and so on. And some other algorithms will be appended in the future.

iou-tracker

Python implementation of the IOU Tracker

jirareporter

TeamCity plugin for JIRA reporting

kimera

Index repo for Kimera code

lift

Code release for the ECCV 2016 paper

machinelearning

Machine Learning in Action学习笔记，一个文件夹代表一个算法，每个文件夹包含算法所需的数据集、源码和图片，图片放在pic文件夹中，数据集放在在Data文件夹内。书中的代码是python2的，有不少错误，这里代码是我用python3写的，且都能直接运行

many-search-algorithm-optimize-bp-neural-network

利用各种算法优化BP

mathematical-modeling

mathematical-modeling-1

每个文件夹里包含了一个数学建模的小项目。

mathematical_modeling

2018年度研究生数学建模比赛：数据清洗、SOM、PSO模型

meatpie

Collections of well known metaheuristic algorithms fully written in Python. Including Particle Swarm Optimization (PSO), Differential Evolution (DE), Evolution Strategies (ES), FIrefly Algorithm (FA), etc, and some of their variations.