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1. QuantumVE QuantumVE Public

   Vision Transformer embeddings enable scalable quantum SVMs with real-world accuracy gains.

   Jupyter Notebook 10 6

2. EdgeAI-Continuum EdgeAI-Continuum Public

   Reduce edge device memory by 80% when running AI models. Offload PyTorch/scikit-learn to cloud using active storage -no code changes needed

   Jupyter Notebook 5 1

3. criticaldata/ShortKit-ML criticaldata/ShortKit-ML Public

   A unified framework to detect, benchmark, and mitigate shortcut learning in machine learning models across medical imaging and beyond.

   Python 18 1

4. bodhi-llms bodhi-llms Public

   A lightweight, provider-agnostic wrapper that embeds epistemic virtues (curiosity and humility) into LLM responses

   Python 7

5. qml-medimage qml-medimage Public

   Quantum SVM for medical image classification using deep embeddings from chest X-rays (MIMIC-CXR). Demonstrates quantum advantage at low feature dimensionality with kernel eigenspectrum explainability

   Python 4 2

6. criticaldata/benchmaxxing criticaldata/benchmaxxing Public

   Referee agents that catch benchmark gaming in clinical multi-agent systems: shortcut cascades, blind metrics, and mutual oversight, measured.

   Python 2