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muggle-prophet's Projects

baiduaoispider icon baiduaoispider

POI-based Baidu map AOI (area of interest)/ vector boundary data crawler, results can be exported to shp/shapefile spatial data. 百度地图 AOI 爬虫

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

datasciencestudynotes icon datasciencestudynotes

这个仓库保管从(数据科学学习手札69)开始的所有代码、数据等相关附件内容

feature_selection icon feature_selection

基于ray的特征选择库,集成多种方法 (a tool for feature selection based on ray distributed framework)

fiona icon fiona

Fiona reads and writes geographic data files

gpt_academic icon gpt_academic

为ChatGPT/GLM提供图形交互界面,特别优化论文阅读润色体验,模块化设计支持自定义快捷按钮&函数插件,支持代码块表格显示,Tex公式双显示,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

hands-on-data-analysis icon hands-on-data-analysis

动手学数据分析以项目为主线,知识点孕育其中,通过边学、边做、边引导来得到更好的学习效果

hangzhou icon hangzhou

gather the job information to look into the city blocks of hangzhou.

mearching-learning-project icon mearching-learning-project

本仓库主要讲述数据理解、数据可视化、数据预处理、特征选择、模型选择、模型评估及基于sklearn库中各类机器学习算法的使用(单变量特征选择、递归特征消除、主要成分分析、决策树、随机森林、GBDT族(提升算法))This warehouse mainly describes data understanding, data visualization, data preprocessing, feature selection, model selection, model evaluation and the use of various machine learning algorithms based on sklearn library (univariate feature selection, recursive feature elimination, principal component analysis, decision tree , random forest, GBDT family (boosting algorithm)).

meos icon meos

Mobility Engine, Open Source

ospider icon ospider

开源矢量地理数据获取与预处理工具(POI/AOI/行政区/路网/土地利用)

poicollectservice icon poicollectservice

开发POI/AOI采集器,采用公开sdk获取数据,仅供学习使用。

spiders icon spiders

集合各种爬虫,欢迎补充增加,旨在学习交流

trackintel icon trackintel

trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.

tracktable icon tracktable

Tracktable: moving object trajectory analysis in C++ and Python

transbigdata icon transbigdata

A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.

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