Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
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Updated
Apr 19, 2025 - Python
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
Numerical inversion package for time-domain Nuclear Magnetic Resonance (NMR) relaxation and diffusion experiments. Click on the link below for the full documentation.
Rust implementation of Inverse Laplace Transform with Concentrated Matrix-Exponential Functions
Python implementation of FLINT algorithm for NMR relaxation data.
Gaver Stehfest for numerically inverting the Laplace transform
Cods for processing data obtained with NMR-MOUSE of Magritek. Include Inverse Laplace Transform algorithm (FISTA) and plots.
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