AI-utils

Central repository for all AI/ML scripts, notebooks, and experiments.

Getting Started

Feel free to explore the contents of each directory to understand and contribute to our AI/ML initiatives. Whether you're a team member working on a specific project or a contributor interested in advancing our capabilities, this repository serves as a collaborative space for innovation.

git clone git@github.com:ULAS-HiPR/AI-utils.git
cd AI-utils

conda env create -f environment.yml # if you don't have the conda env created

conda activate ai-utils

# if you need to use pip
pip install -r requirements.txt

Note: Conda is used because it let's use pip packages also and we can control the python version. It is a bit more powerful and is easier to work with in the long run. Install either anaconda or miniconda to use it.

Directory Structure

The repository is organized into two main directories:

1. notebooks: This directory contains Jupyter notebooks used for various AI/ML experiments. Each notebook is designed to explore and analyze different aspects of our rocketry projects.

2. scripts: In this directory, you'll find scripts written in various programming languages that implement machine learning algorithms, data processing, and other AI-related functionalities. These scripts are essential for the integration of intelligent solutions into our rocketry endeavors.

Note: Trained models should be stored on OneDrive not here.