MLDev facilitates running data science experiments, helps in results presentation and eases paper preparation for students, data scientists and researchers.
The MLDev software provides the following features to help with automating machine learning experiments:
MLDev also provides experiment services that run alongside your pipeline:
MLDev is currently in the Development stage and supports Ubuntu 16.04+.
Get the latest version of the install script to your local machine and run it.
$ curl https://gitlab.com/mlrep/mldev/-/raw/develop/install_mldev.sh -o install_mldev.sh $ chmod +x ./install_mldev.sh $ ./install_mldev.sh base
You may be asked for
root privileges if there are system packages to be installed.
Wait a couple of minutes until installation is done. You are almost ready to use our instrument, congrats!
Then get the default demo experiment
$ mldev init <new_folder>
Answer the questions the setup wizard asks or skip where possible.
Then run the default pipeline of the experiment
$ cd <new_folder> $ mldev run
See more at the project Wiki
Here are several examples where MLDev has been applied
More to come…
The source code of the project is licensed under Apache 2.0 license.
MLDev is a community open source project. Everyone is welcome to participate!
For python developers and ML enthusiasts we have tasks on experiment management and visualizations.
Data scientists may find it interesting to contribute model analysis and AutoML tool integrations.
You may also wish to get your MLDev experiment project listed on the project web page or contribute a reproduction of a research paper.
We also welcome data science experts and educators for collaboration on teaching materials and advice on the use of MLDev in the teaching process (like data analysis lab or homeworks).
slack ods.ai channel: #proj_mldev