The sparse Bayesian learning sandbox
-
Updated
Jul 4, 2021 - Python
#
sparse-bayesian-learning
Here are 3 public repositories matching this topic...
Python library and TRIPS-Py examples for prior-normalizing (Knothe-Rosenblatt) transport maps in sparse Bayesian learning (SBL): MAP demos for 1D/2D deblurring alongside Tikhonov/GCV baselines. Companion to Glaubitz & Marzouk (2025) and the Julia reference implementation.
python image-reconstruction scientific-computing scipy regularization bayesian-inference inverse-problems variational-inference cmda hierarchical-models sparse-bayesian-learning virginia-tech deblurring map-estimation computational-statistics transport-maps pylops prior-normalization knothe-rosenblatt trips-py
-
Updated
May 4, 2026 - Python
CL-SCA: covariance learning via successive convex approximations
covariance-matrix sparse-bayesian-learning activity-detection signal-reconstruction support-recovery covariance-learning
-
Updated
Jul 13, 2026 - Python
Add this topic to your repo
To associate your repository with the sparse-bayesian-learning topic, visit your repo's landing page and select "manage topics."