A curated list of awesome projects built with OIKAN, a powerful framework for interpretable machine learning.
The best projects from this repository will be featured in the OIKAN's Featured Projects Website.
🔗 OIKAN repository: silvermete0r/oikan
We welcome contributions to this list! If you have an awesome OIKAN project to share, please follow these steps:
- Fork the repository: Click the "Fork" button at the top right of this page.
- Clone your fork: Use
git clone https://github.com/silvermete0r/awesome-oikan.gitto clone your fork locally. - Add your project: Open the
README.mdfile and add your project to the appropriate section. - Submit a pull request: Once you've made your changes, submit a pull request to the main repository.
- Follow the guidelines: Please ensure your project follows the contribution guidelines.
| Project Name | Description | Link | Author |
|---|---|---|---|
| Classification Tutorial using Iris Dataset | A tutorial on classification using the Iris dataset with OIKAN. | GitHub Jupyter Notebook | @silvermete0r |
| Drug Classification (AC: 0.97) | A classification model for drug classification using OIKAN. | Kaggle Notebook | @silvermete0r |
| OIKAN ~ Interpretable ML for CMI 2025 - Training | Predicting Body Focused Repetitive Behaviors from a Wrist-Worn Device using OIKAN (Competition: CMI - Detect Behavior with Sensor Data) | Kaggle Notebook Training & Kaggle Notebook Submission | @silvermete0r |
| S5E6 - OIKAN Predicting Optimal Fertilizers | Kaggle Playground Season 5, Episode 6: Select the best fertilizer for different weather, soil conditions and crops. Kaggle Competition: Predicting Optimal Fertilizers | Kaggle Notebook | @silvermete0r |
| OIKAN ~ ML for Credit Score Classification | A credit score classification model using OIKAN. | Kaggle Notebook | @silvermete0r |
| Project Name | Description | Link | Author |
|---|---|---|---|
| Regression Tutorial using California Housing Dataset | A tutorial on regression using the California Housing dataset with OIKAN. | GitHub Jupyter Notebook | @silvermete0r |
We would like to thank all contributors and the OIKAN community for their support and contributions!