demcbs

reliability-diagrams

Reliability diagrams visualize whether a classifier model needs calibration

tutorials

MONAI Tutorials

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

ml-stat-util

Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers

nnUNet

demcbs/reliability-diagrams

Reliability diagrams visualize whether a classifier model needs calibration

demcbs/tutorials

MONAI Tutorials