https://github.com/sabyasc/ml-pyproj

ml-pyproj is all about various ML or MLOps related projects written in Python.
https://github.com/sabyasc/ml-pyproj

devops github-actions hugo machine-learning mlflow python3 terraform

Last synced: 2 months ago
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ml-pyproj is all about various ML or MLOps related projects written in Python.

• Host: GitHub
• URL: https://github.com/sabyasc/ml-pyproj
• Owner: sabyasc
• Created: 2024-11-12T04:44:50.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-05-02T18:24:11.000Z (about 1 year ago)
• Last Synced: 2025-05-02T19:28:41.724Z (about 1 year ago)
• Topics: devops, github-actions, hugo, machine-learning, mlflow, python3, terraform
• Language: Python
• Homepage: https://github.com/sabyasc/ml-pyproj
• Size: 26.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • Security: SECURITY.md

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README

          
# Machine Learning Projects via ml-pyproj

Welcome to the `ml-pyproj` repository, a comprehensive collection of Machine Learning enabled processes integrated with DevOps guidelines implemented using `Python` and UI as `Hugo`.

## 💡 Categories

1. **ml-pipelines**: Projects focused on ML workflows and DevOps integrations.

## 🚀 Workspace (s)

This repository utilizes two environments: `development` and `production` through `GitHub-Actions` to enssure CI/CD pipelines are in place.

* `development.yml`

* `production.yml`

[![development.yml](https://github.com/sabyasc/ml-pyproj/actions/workflows/development.yml/badge.svg)](https://github.com/sabyasc/ml-pyproj/actions/workflows/development.yml)

[![production.yml](https://github.com/sabyasc/ml-pyproj/actions/workflows/production.yml/badge.svg)](https://github.com/sabyasc/ml-pyproj/actions/workflows/production.yml)

## 🛠️ Code Quality and Model Tracking

1. This repository uses `CodeQL` via `GitHub-Actions` for code scanning to ensure security and quality.

2. The `ml-pipelines` utilize `mlflow` for tracking and managing experiments, ensuring reproducibility and efficiency.

3. Projects follow SOLID principles for high code quality:

    - **Single Responsibility Principle**

    - **Open-Closed Principle**

    - **Liskov Substitution Principle**

    - **Interface Segregation Principle**

    - **Dependency Inversion Principle**

## 🤝 Reach Out for Collaboration

📫 Reach out via [LinkedIn](https://www.linkedin.com/in/sabyasc/) or [Email](mailto:sabya.1834090@gmail.com)

Thank you. Cheers!! :clinking_glasses:

© 2025 sabyasc