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cmda

Here are 2 public repositories matching this topic...

danielmiless / SBL-PriorNormalization-Python

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.

Updated May 4, 2026
Python

Giog97 / CMDA

Study of CMDA (Cross-Modality Domain Adaptation) for Nighttime Semantic Segmentation introducing new losses between features.

segmentation crossdomain cmda domainadaptation

Updated Oct 12, 2025
Python

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