| Project | Core tools |
|---|---|
| calm-sense | Python · scikit-learn · PyTorch |
| nexus-rag | Python · PyTorch · Transformers |
| nova-vision | Python · PyTorch · Transformers |
| retinonorm | Python · NumPy · SciPy |
| multimodal-multisensor | Python · pandas · scikit-learn |
| sensor | Python · pandas · NumPy |
| glassbox | Python · HTML · CSS |
| shono | Python · PyTorch · Transformers |
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calm-sense
calm-sense PublicWearable stress classification with scikit-learn feature models and a PyTorch 1D CNN, using leave-one-subject-out evaluation and calibration checks.
Python 5
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multimodal-multisensor
multimodal-multisensor PublicExploratory multimodal ML research with SciPy statistics and scikit-learn PCA/K-means on eye, cardiac and questionnaire data.
Python 2
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nova-vision
nova-vision PublicEmotion-conditioned diffusion experiments with PyTorch and Transformers, comparing prompt tiers at matched seeds with paired image evaluation.
Python
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