Numerical inversions for Nuclear Magnetic Resonance relaxation and diffusion experiments.
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Updated
Oct 13, 2024 - Julia
Numerical inversions for Nuclear Magnetic Resonance relaxation and diffusion experiments.
Scientific Computational Imaging COde
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
PyTorch library for solving imaging inverse problems using deep learning
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Open-source multi-dimensional tomographic reconstruction software (OMEGA)
Algorithms for inverse design
Discretization tools for finite volume and inverse problems.
Forward modeling, inversion, and processing gravity and magnetic data
PyLops – A Linear-Operator Library for Python
C++ library for Regularized 2D and 3D Tomography Reconstructions.
Radio interferometric calibration with PyTorch. An example of how to solve a general optimization problem.
Lensless imaging toolkit. Complete tutorial: https://go.epfl.ch/lenslesspicam
Computational lab to provide the students with interactive simulations that help them to comprehend the concepts of seismology.
Fahlevisia Website
Physics-Informed Neural Networks for solving various Differential Equations and Inverse Problems
code related to "UNSURE: Unknown Noise level Stein's Unbiased Risk Estimator" by Tachella, Davies and Jacques
Personal website of Pankaj K Mishra, built using Hugo with a customized version of the hugo-xmin theme, HTML, and CSS, and hosted on GitHub Pages.
A collection of inverse design challenges
Groundwater flow equation: Finite-difference forward, adjoint, and gradient operators with PyTorch wrapper
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