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| title: README |
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| # ViTAMIn-O: Democratizing computer vision-based machine learning for stem cell research |
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| Welcome to the official model hub for **ViTAMIn-O**. This organization serves as an open-science database for customized, vision-based deep learning models specifically trained for organoid cross-sectional classification, longitudinal prediction, downstream model evaluation, and concept discovery. |
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| ColabViTAMIn-O [](https://colab.research.google.com/drive/1nDXBvSziGndkVcpUH9jxRbZpwX-2MMDU?usp=sharing) |
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| ## About ColabViTAMIn-O |
| ViTAMIn-O is a code-free, Colab-based infrastructure designed to encourage wet-lab scientists to use deep learning in their workflows. Without prior coding experience, researchers can seamlessly upload imaging datasets, fine-tune state-of-the-art vision foundation models, and discover morphologically-grounded concepts using the OrgACE pipeline. |
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| ## The ViTAMIn-O Model Hub |
| This hub hosts models trained by the community. You can explore the models via our **Collections**, which categorize models by organoid type (e.g., Ductal, Intestinal, Cerebral). |
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| ### How to Contribute |
| We encourage motivated researchers to share their specialized models. |
| A quick guide: |
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| 1. Open the [ViTAMIn-O Colab Dashboard](https://colab.research.google.com/drive/1nDXBvSziGndkVcpUH9jxRbZpwX-2MMDU?usp=sharing). |
| 2. Train your custom model using your dataset. |
| 3. Check the "Upload to Hugging Face" box under 2. Task Settings. |
| 4. Input your personal HF token and the target Repo name. |
| 5. Once your model is on your personal profile, request to add it to one of our collections, we will catch up within 48 hours! |
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| ## Important |
| If you use the ViTAMIn-O framework or any shared models hosted in this hub, please cite the corresponding paper where available. |
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