Stars
Lecture notes for the "Randomised and Advanced algorithms" class developed for the University of Sydney.
Implementation of Neural Belief propagation decoder for QLDPC codes
Machine Learning and Optimization for Communications Systems
Folklore facts on probability distribution learning, testing, and whatever-ing
Source code from the paper: A. Elkelesh, M. Ebada, S. Cammerer, L. Schmalen, and S. ten Brink, “Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design,” in IEEE Access, 2019.
Sample scripts used in the lectures of the CEL (Communications Engineering Lab) at KIT