toyowl / mlops_labs

MLOps Labs

Repository Description

MLOps Labs consists of several sets of scripts for machine learning optimization.

There will be 4 sets of scripts:

• Lab1 consists of a pipeline that collects and preprosesses synthetic numerical data, creates and trains a linear regression model, and then tests its result.
• Lab2 (soon)
• Lab3 consists of an application that processes sound files. Three functions: recognition, enhancement and separation. The application consists of backend and frontend parts, runs using Docker.
• Lab4 (soon)

Lab1: How to run a pipeline

1. Clone the repo:

   $ git clone github.com:brain4power/mlops_labs.git

2. Go to the directory of Lab1:

   $ cd ./lab1

3. Run the shell script in UNIX-system:

   $ bash ./pipeline.sh

Lab2:

Follow the internal Readme

Lab3:

Follow the internal Readme

Lab4:

Follow the internal Readme

Authors:

• Aleksei Gukov (brain4power)
• Artem Golubev (arqoofficial)
• Edward Tuomas (ToyOwl)
• Tatiana Anisimova (t-linguist)