compressed-sensing
Python package for signal processing, with emphasis on iterative methods
Python wrappers for external BART computational imaging tools and internal libraries
Efficient Algorithms for L0 Regularized Learning
An interoperable GROG package to accelerate Non-Cartesian MR reconstructions.
Multi-paradigm PyTorch framework for MRI reconstruction and generative modelling: GAN, diffusion, VAE, flow, Mamba/SSM and physics-driven paradigms behind one audited, frozen-config training interface.
Data Consistency Toolbox for Magnetic Resonance Imaging
A package for AFM image reconstruction and compressed sensing in general
Compressed Sensing and Sparse Recovery Algorithms and more!
Sparse phase unwrapping of InSAR interferograms
Efficiently computing Fourier transforms
Compressive Sensing and Optimization Framework to reconstruct Faraday Depth signals
