mldev is a tool for running reproducible experiments
Project description
MLDev software
This repository contains the MLDev software, that facilitates running data science experiments, help 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:
Configure stages and parameters of a data science experiment separately from your code
Conduct a repeatable experiment in Google Colab or PaperSpace
Keep versions of your code, results and intermediate files on Google Drive (other repos coming soon)
Use a variety of pre-built templates to get started
MLDev also provides some services that run alongside your experiment code: You can have the notifications via Telegram about the exeptions while training your model
Keep updated on current experiment state using TensorBoard (even on Colab)
Deploy and demo your model with a model controller (feature in progress)
Install mldev
MLDev comes with a couple of extensions (extras), see the homepage for details.
base
dvc
tensorboard
controller
bot
jupyter
collab
Install using install_mldev.sh script
Get the latest version of our install file 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
You may be asked for root privileges if there are system packages to be installed.
Wait a couple of minutes until installation will complete, congrats!
Install from PyPI
Use pip to install MLDev package from PyPI. This will not install any system dependencies.
Useful for including MLDev into requirements.txt in your experiments.
$ python3 -m pip install mldev[base]
Contacts
You can reach developers at the Telegram user group
Homepage https://gitlab.com/mlrep/mldev
See the project page at the Open Data Science website https://ods.ai/projects/mldev
License
The software is licensed under Apache 2.0 license
Release history Release notifications | RSS feed
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