sparse-bayesian-learning
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Functional models and algorithms for sparse signal processing
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Oct 17, 2023 - Jupyter Notebook
Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.
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Mar 28, 2022 - Julia
The sparse Bayesian learning sandbox
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Jul 4, 2021 - Python
Deconvolution algorithms for diffusion MRI
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Jan 3, 2020 - MATLAB
Hierarchical probabilistic models for multiple gene/variant associations based on NGS data
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May 28, 2017 - Jupyter Notebook
Sparse Bayesian Metric Learning
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Dec 5, 2019 - MATLAB
direct position determination of non-circular sources via off-grid sparse Bayesian inference
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Apr 7, 2025 - MATLAB
R Package for Automatic Relevance Determination
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Sep 24, 2018 - R
Official implementation of AMP-based consistent activity status and channel estimation
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Sep 1, 2025 - MATLAB
Official implementation of Bayesian activity status and system parameter estimation
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Mar 5, 2025 - MATLAB
An enhanced version of GADA, a fast and sparse segmentation algorithm
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Aug 28, 2023 - C++
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