# AnyBoost.jl
**URL:** https://discourse.julialang.org/t/anyboost-jl/25769
**Category:** Package Announcements
**Tags:** machine-learning
**Created:** [June 27, 2019, 4:14pm UTC](https://discourse.julialang.org/t/anyboost-jl/25769 "2019-06-27T16:14:44Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@rakeshvar](https://discourse.julialang.org/u/rakeshvar)
#### Post date: [June 27, 2019, 4:14pm UTC](https://discourse.julialang.org/t/anyboost-jl/25769/1 "2019-06-27T16:14:44Z")
I released the package that I developed as a part of my PhD in Machine Learning at Stanford. The idea is to be able to boost beyond trees, with more algorithms than the usual `Gradient Boosting`.
> **[GitHub - rakeshvar/AnyBoost.jl: A julia based machine learning package for...](https://github.com/rakeshvar/AnyBoost.jl)**
>
> A julia based machine learning package for boosting any loss, activation and constraint. - GitHub - rakeshvar/AnyBoost.jl: A julia based machine learning package for boosting any loss, activation ...
It works in `v0.6`. Has no documentation except my [thesis](https://stacks.stanford.edu/file/druid:dz563hn6234/Thesis_Draft_Rakesh_v4-augmented.pdf). Unfortunately I will be away from computers at a [yoga retreat](http://www.ishayoga.org/) for a few months (to unwind from my PhD); so I will not be actively maintaining it, but a friend may handle pull requests.
I forgot to acknowledge the awesome Julia community in my dissertation. You guys are great, and it was a real pleasure working in Julia. I did not even have R on my computer!
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### Author:  [@Balinus](https://discourse.julialang.org/u/Balinus)
#### Post date: [June 27, 2019, 5:29pm UTC](https://discourse.julialang.org/t/anyboost-jl/25769/2 "2019-06-27T17:29:15Z")
Congrats!
It will certainly be worthwile to complete your package (docs and Julia 1.x support) once you come back!