About ML Ops Quickstart

ML Ops Quickstart is a tool for initializing Machine Learning projects following ML Ops best practices.

Setting up new repositories is a time-consuming task that involves creating different files and configuring tools such as linters, docker containers, and continuous integration pipelines. The goal of mloq is to simplify that process, so you can start writing code as fast as possible.

mloq generates customized templates for Python projects with a focus on Maching Learning. An example of the generated templates can be found in mloq-template.

Installation

mloq is tested on Ubuntu 18.04+, and supports Python 3.6+.

Install from pypi

pip install mloq

Install from source

git clone https://github.com/FragileTech/ml-ops-quickstart.git
cd ml-ops-quickstart
pip install -e .