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multi-class-classification icon multi-class-classification

使用支持向量机,感知机,随机森林,决策树,k近邻,logistic,LSTM,bagging,boosting,集成等多种常见算法实现多分类任务(三分类)。Support vector machine, perceptron, random forest, decision tree, k-nearest neighbor, logistic, bagging, boosting, LSTM, ensemble and other common algorithms are used to achieve multi classification tasks.

pigmented-skin-disease-automatic-recognition-and-classification-system icon pigmented-skin-disease-automatic-recognition-and-classification-system

设计并实现了一个基于深度学习、集成学习、迁移学习、GAN等技术的色素性皮肤病自动识别七分类系统。本系统主要由服务端和客户端两个模块组成。服务端基于深度学习、集成学习、迁移学习、GAN等技术实现了对色素性皮肤病自动识别七分类。客户端使用微信小程序和网站(SSM、Springboot)开发。用户通过微信小程序或网站上传图像到服务端,服务端返回所属类别。

pnc-algo-vtd-samples icon pnc-algo-vtd-samples

Simple PnC algorithm samples for octopus simulation service users to get started with vtd adapter.

py_datam icon py_datam

爬取3000+谣言新闻,并对新闻信息进行建模、分类与预测。

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

robotics icon robotics

自动驾驶相关各类算法实现及原理分析

self_drive icon self_drive

基于树莓派的自动驾驶小车,利用树莓派和tensorflow实现小车在赛道的自动驾驶。(Self-driving car based on raspberry pi(tensorflow))

vrptw-python icon vrptw-python

实现高升论文《基于电动汽车的带时间窗的路径优化问题研究》中的算法

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