Alternatives and similar repositories for pg_mri

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

• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆37Updated 5 years ago
• SkafteNicki / libcpab
  CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…
  ☆50Updated 3 years ago
• facebookresearch / active-mri-acquisition
  Active Acquisition for fastMRI
  ☆45Updated 3 years ago
• fcaliva / fastMRI_BB_abnormalities_annotation
  ☆16Updated 3 years ago
• utcsilab / deepinpy
  Deep inverse problems in Python
  ☆59Updated 2 years ago
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆31Updated 4 years ago
• reinhardh / supplement_deep_decoder
  ☆97Updated 6 years ago
• AxelElaldi / equivariant-spherical-deconvolution
  Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)
  ☆17Updated 2 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 2 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆89Updated 5 months ago
• pputzky / irim_fastMRI
  i-RIM applied to the fastMRI challenge data.
  ☆28Updated 3 years ago
• tianweiy / SeqMRI
  ☆21Updated 3 years ago
• tueimage / SE2CNN
  ☆66Updated 6 years ago
• cetmann / iunets
  A fully invertible U-Net for memory efficiency in Pytorch.
  ☆127Updated 3 years ago
• evanmy / sae
  Accepted in MIDL 2020
  ☆32Updated 4 years ago
• vegarant / Invfool
  Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"
  ☆35Updated last month
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆92Updated 4 years ago
• sumanabasu / Early-Prediction-of-Alzheimer-s-Disease-Progression-Using-Variational-Autoencoders-MICCAI-2019
  Predicts progression of Alzheimer's from MRI
  ☆14Updated 3 years ago
• mengweiren / longitudinal-representation-learning
  ☆18Updated 2 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.
  ☆157Updated last year
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆66Updated 5 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆25Updated 6 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆56Updated 2 years ago
• AKuzina / DWP
  Pytorch implementation of the DWP with application to MRI segmentation
  ☆9Updated 5 years ago
• ermongroup / alignflow
  ☆32Updated 5 years ago
• alanqrwang / HQSNet
  Code for "Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data"
  ☆13Updated 4 years ago
• khammernik / sigmanet
  Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,
  ☆54Updated 2 years ago