• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    公众号

alan-turing-institute/MLJ.jl: A Julia machine learning framework

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

alan-turing-institute/MLJ.jl

开源软件地址(OpenSource Url):

https://github.com/alan-turing-institute/MLJ.jl

开源编程语言(OpenSource Language):

Julia 50.2%

开源软件介绍(OpenSource Introduction):

MLJ

A Machine Learning Framework for Julia

Build Status Documentation bibtex bibtex

MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing over 160 machine learning models written in Julia and other languages.

New to MLJ? Start here.

Integrating an existing machine learning model into the MLJ framework? Start here.

Wanting to contribute? Start here.

PhD and Postdoc opportunies See here.

MLJ was initially created as a Tools, Practices and Systems project at the Alan Turing Institute in 2019. Current funding is provided by a New Zealand Strategic Science Investment Fund awarded to the University of Auckland.

MLJ has been developed with the support of the following organizations:

The MLJ Universe

The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization.

Dependency Chart

Dependency chart for MLJ repositories. Repositories with dashed connections do not currently exist but are planned/proposed.


Contributing  •  Code Organization  •  Road Map

Contributors

Core design: A. Blaom, F. Kiraly, S. Vollmer

Lead contributor: A. Blaom

Active maintainers: A. Blaom, S. Okon, T. Lienart, D. Aluthge




鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap