hackathon / src /models

Commit History

  1. feat(researcher): DCE-MRI BBB permeability bridge + drug-dose adjuster⁠

    mekosotto +1: Claude Opus 4.7 (1M context)
    327b23d
  2. fix(mri): try weights_only=True first; fall back only for trusted module pickles

    07b00eb
  3. feat(models): EEG classifier loader + predict (stub-able for hackathon demo)

    a3f2882
  4. feat(models): selector dispatch for volumetric vs 2D MRI models

    621cb25
  5. feat(models): add 2D resnet18 4-class Alzheimer's MRI inference module

    11f62d8
  6. fix(mri/model): warn when label_names length != model output dim (was silent override)

    9ae5b40
  7. Add project files

    c0a7163

  1. feat(models): train-time confidence stats stashed on _neurobridge_train_stats⁠

    mekosotto +1: Claude Opus 4.7 (1M context)
    efb8713
  2. feat(models): calibration metadata — precision-at-threshold bins on _neurobridge_calibration⁠

    mekosotto +1: Claude Opus 4.7 (1M context)
    90167c7
  3. docs: Day-5 close-out — AGENTS §8 decision layer + trainer CLI

    53256ed
  4. feat(models): SHAP top-k explainer for BBB predictions

    7dad1a9
  5. feat(models): BBB classifier with predict_with_proba uncertainty

    3cc6a7d