PyMo

A framework in Mojo for AI/ML/DL applications and other domains.

An extended framework for Mojo:

• The Mojo🔥programming language
• Mojo is built by Modular Inc. and the Mojo community.

Overview

PyMo is a framework designed to leverage the capabilities of the Mojo programming language. The goal is to provide a seamless transition for Python developers into the realm of AI, Machine Learning, Deep Learning (AI/ML/DL), and other domains - with the performance enhancements offered by Mojo. Since Mojo is designed as a systems programming language, its capabilities go beyond just AI/ML/DL. This extends to PyMo as well - it can be leveraged in other programming languages and domains. See docs for more information.

Current Status: Work in Progress (WIP) - Proof of Concept

Project Structure

├── init.🔥
├── data/
├── docs/
├── examples/
├── magic.lock
├── mojoproject.toml
├── pymo/
├── src/
├── test/
└── test_pymo.🔥

Installation & Setup

To install and set up PyMo (on Linux), follow these steps:

1. Clone the repository:

   git clone git@github.com:rcghpge/pymo.git
   cd pymo

2. Initialize PyMo environment with Magic

   magic shell

3. Run Test(s):

   magic run test

4. Format Project's Code (Optional)

   magic run format

5. Build & Ship Package(s) and Module(s) in Mojo (Optional)

   magic run build

Features

Interoperability with Python:

PyMo showcases Mojo's potential to become a superset of Python, focusing on enhancing Python's AI/ML/DL capabilities while providing a glimpse into Mojo's language and domain-agnostic potential.

Integration with Popular Libraries:

Here's how PyMo interacts with some well-known Python libraries:

• scikit-learn: For machine learning models.
• pandas: For data manipulation and analysis.
• numpy: For numerical computing.
• seaborn: For statistical data visualization.
• matplotlib: For plotting visualizations.
• and more.

I will be testing and benchmarking more libraries in leveraging Mojo. A reminder that this is very much in a proof of concept stage project.

Getting Started

Check out examples/ and test/ folders for sample code demonstrating how to use PyMo with various AI/ML/DL tasks and initial framework draft of PyMo.

MAX

• check out MAX - an AI inference platform built by Modular
• PyMo can be leveraged in this framework.

Python

• If you are new to programming, check out PyPi - The Python Package Index. A repository of software for the Python programming language and also see Python documentation. Python is an awesome programming language to get started with in programming.

Machine Learning University

• MLU-Explain - Visual explanations of core machine learning concepts

Contributing

Contributions are welcome! Here's how you can contribute:

• If you are interested to build out this project. Feel free to contact me. See contact below.
• Join the discussion. See repository's Discussions board.
• Report bugs or request features by opening an issue.
• Fix bugs or implement features by opening a pull request.
• Please ensure your code adheres to the project's and Mojo's coding standards before submission.

License

MIT License

Acknowledgements

• The open source community.
• The Modular community. Discord, forum
• The Mojo Team for developing the Mojo language.
• Check out the cool tech being built @ Modular

Contact

For any queries or further information, please contact me here.

Happy coding with PyMo!🚀