Alternatives and similar repositories for torchkbnufft

Users that are interested in torchkbnufft are comparing it to the libraries listed below

• matteo-ronchetti / torch-radon
  Computational Tomography in PyTorch
  ☆263Updated 2 years ago
• albangossard / Bindings-NUFFT-pytorch
  Bindings to use a NUFFT in pytorch with differentiation with respect to the input and to the positions.
  ☆22Updated last year
• utcsilab / deepinpy
  Deep inverse problems in Python
  ☆60Updated 5 months ago
• flatironinstitute / pytorch-finufft
  Pytorch wrappers for the FINUFFT library
  ☆14Updated last month
• odlgroup / odl
  Operator Discretization Library https://odl.readthedocs.io/
  ☆426Updated this week
• lanl / scico
  Scientific Computational Imaging COde
  ☆146Updated last week
• jleuschn / dival
  Deep Inversion Validation Library
  ☆82Updated 11 months ago
• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆69Updated last year
• utcsilab / csgm-mri-langevin
  ☆99Updated 4 years ago
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆105Updated 6 years ago
• zaccharieramzi / tfkbnufft
  A robust, easy-to-deploy non-uniform Fast Fourier Transform in TensorFlow.
  ☆32Updated 2 years ago
• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆65Updated 5 years ago
• mikgroup / sigpy
  Python package for signal processing, with emphasis on iterative methods
  ☆333Updated last year
• mckib2 / phantominator
  Generate numerical phantoms.
  ☆44Updated 2 years ago
• oterobaguer / dip-ct-benchmark
  Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods
  ☆36Updated 5 years ago
• ahendriksen / tomosipo
  A library for painless 3D tomographic reconstruction
  ☆101Updated 8 months ago
• vegarant / Invfool
  Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"
  ☆36Updated 8 months ago
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆37Updated 5 years ago
• zaccharieramzi / fastmri-reproducible-benchmark
  Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
  ☆159Updated last year
• jleuschn / cinn_for_imaging
  Conditional Invertible Neural Networks for Medical Imaging
  ☆20Updated 3 years ago
• guanhuaw / Bjork
  PyTorch implementation of 'B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2…
  ☆26Updated 2 years ago
• ahendriksen / ts_algorithms
  ☆22Updated 10 months ago
• CEA-COSMIC / pysap-mri
  MRI external plugin for Python Sparse data Analysis Package
  ☆45Updated 10 months ago
• guanhuaw / MIRTorch
  A PyTorch-powered differentiable image reconstruction/optimization toolbox
  ☆145Updated 3 weeks ago
• deepinv / deepinv
  DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
  ☆637Updated last week
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• mind-inria / mri-nufft
  Doing non-Cartesian MR Imaging has never been so easy.
  ☆100Updated last week
• yang-song / score_inverse_problems
  Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
  ☆263Updated 3 years ago
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆46Updated 4 years ago
• gbuzzard / PnP-MACE
  Utilities and methods to use the PnP algorithm and MACE framework on image reconstruction problems. Includes demos for superresolution a…
  ☆19Updated last year