Alternatives and similar repositories for EIT-EBM

Users that are interested in EIT-EBM are comparing it to the libraries listed below

• scaomath / eit-transformer
  [ICLR 2023] Interplay between the Attention and Electrical Impedance Tomography
  ☆35Updated 2 years ago
• VincLee8188 / Physics-Informed-Neural-Networks-PyTorch
  Implementation of physics informed neural networks with PyTorch
  ☆21Updated 4 years ago
• jmaces / robust-nets
  Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdona…
  ☆30Updated 3 years ago
• zabaras / inn-surrogate
  Solving inverse problems using conditional invertible neural networks.
  ☆33Updated 4 years ago
• jleuschn / cinn_for_imaging
  Conditional Invertible Neural Networks for Medical Imaging
  ☆20Updated 3 years ago
• agrija9 / Convolutional-VAE-for-3D-Turbulence-Data
  A Convolutional Variational Autoencoder (CVAE) for 3D CFD data reconstruction and generation.
  ☆41Updated 3 years ago
• computational-imaging / GraphPDE
  ☆52Updated 3 years ago
• neuraloperator / mri
  CVPR 2025, A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
  ☆27Updated 2 months ago
• kkothari93 / fionet
  Official repo for "Learning the geometry of wave-based imaging"
  ☆12Updated 4 years ago
• adahfbch / DGM-EIT
  ☆11Updated last year
• zehao99 / CEIT
  Python Package for EIT(Electric Impedance Tomography)-like problems using Gauss-Newton method.
  ☆15Updated 2 years ago
• vislearn / analyzing_inverse_problems
  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
  ☆98Updated 5 years ago
• jx-wang-s-group / CoNFiLD
  Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
  ☆53Updated 6 months ago
• wavebench / wavebench
  ☆12Updated last year
• adler-j / learned_gradient_tomography
  Solving ill-posed inverse problems using iterative deep neural networks
  ☆97Updated 3 years ago
• andre-batista / eispy2d
  An Open-Source Python Library for the development of algorithms for 2D Electromagnetic Inverse Scattering Problems.
  ☆31Updated last month
• rodsveiga / PINNs
  Physics Informed Neural Networks
  ☆20Updated 4 years ago
• xuzhiqin1990 / mscalednn
  ☆20Updated 4 years ago
• yqx7150 / HGGDP
  Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
  ☆20Updated 9 months ago
• ashiq24 / UNO
  ☆61Updated 5 months ago
• paulpuren / PhySR
  Physics-informed deep super-resolution of spatiotemporal data
  ☆46Updated last year
• mroberto166 / nio
  ☆36Updated 2 years ago
• utcsilab / csgm-mri-langevin
  ☆95Updated 3 years ago
• erik-norlin / Fourier-Neural-Operator
  A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…
  ☆31Updated 2 years ago
• thu-ml / GNOT
  ☆78Updated 2 years ago
• shangqigao / TensorCompletion
  A collection of tensor completion algorithms
  ☆18Updated 4 years ago
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆23Updated 8 months ago
• yang-song / score_inverse_problems
  Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
  ☆254Updated 3 years ago
• jinxixiang / FISTA-Net
  A model-based deep learning network for inverse problem in imaging
  ☆76Updated 3 years ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆15Updated 11 months ago