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https://github.com/alan-turing-institute/MLJ.jl
A Julia machine learning framework
https://github.com/alan-turing-institute/MLJ.jl
classification clustering data-science ensemble-learning julia machine-learning pipeline pipelines predictive-modeling regression stacking statistics tuning tuning-parameters
Last synced: about 2 months ago
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A Julia machine learning framework
- Host: GitHub
- URL: https://github.com/alan-turing-institute/MLJ.jl
- Owner: JuliaAI
- License: other
- Created: 2018-08-01T06:29:39.000Z (about 6 years ago)
- Default Branch: dev
- Last Pushed: 2024-05-16T02:35:04.000Z (4 months ago)
- Last Synced: 2024-05-17T14:38:52.795Z (4 months ago)
- Topics: classification, clustering, data-science, ensemble-learning, julia, machine-learning, pipeline, pipelines, predictive-modeling, regression, stacking, statistics, tuning, tuning-parameters
- Language: Julia
- Homepage: https://juliaai.github.io/MLJ.jl/
- Size: 41.2 MB
- Stars: 1,727
- Watchers: 46
- Forks: 157
- Open Issues: 97
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Code of conduct: CODE_OF_CONDUCT.md
- Roadmap: ROADMAP.md
Awesome Lists containing this project
- awesome-sciml - alan-turing-institute/MLJ.jl: A Julia machine learning framework
- awesome-julia - A Julia machine learning framework
README
A Machine Learning Framework for Julia
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 about [200 machine learning
models](https://JuliaAI.github.io/MLJ.jl/dev/model_browser/#Model-Browser)
written in Julia and other languages.**New to MLJ?** Start [here](https://JuliaAI.github.io/MLJ.jl/dev/).
**Integrating an existing machine learning model into the MLJ
framework?** Start [here](https://JuliaAI.github.io/MLJ.jl/dev/quick_start_guide_to_adding_models/).**Wanting to contribute?** Start [here](CONTRIBUTING.md).
**PhD and Postdoc opportunies** See [here](https://sebastian.vollmer.ms/jobs/).
MLJ was initially created as a Tools, Practices and Systems project at
the [Alan Turing Institute](https://www.turing.ac.uk/)
in 2019. Funding has also been provided by a [New Zealand Strategic
Science Investment
Fund](https://www.mbie.govt.nz/science-and-technology/science-and-innovation/funding-information-and-opportunities/investment-funds/strategic-science-investment-fund/ssif-funded-programmes/university-of-auckland/)
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](https://github.com/JuliaAI) umbrella organization.
*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