Probabilistic 3D Reconstruction of Spectral Line Observations.
Modular and scalable computational imaging in Python with support for GPU/out-of-core computing.
Reference datasets for physics parameter estimation and inverse problem benchmarking. Includes synthetic datasets with known ground truth, experimentally collected trajectories, and paired MCMC and Sobol analysis example scripts.
A Python toolbox for Diffuse Optical Tomography (DOT) and Near-Infrared Spectroscopy (NIRS)
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
laura: Local Auto-Regressive Average: A linear solution to the M/EEG inverse problem
