Central repository for all AI/ML scripts, notebooks, and experiments.
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 [email protected]: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.txtNote: 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.
The repository is organized into two main directories:
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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.
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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.