Alternatives and similar repositories for uncertainr

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

• NILOIDE / Implicit_segmentation
  ☆24Updated 2 years ago
• efzero / PINER
  ☆20Updated 2 years ago
• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆69Updated last year
• hyungjin-chung / DDIP3D
  ☆56Updated last year
• tachella / unsure
  code related to "UNSURE: Unknown Noise level Stein's Unbiased Risk Estimator" by Tachella, Davies and Jacques
  ☆13Updated 2 months ago
• philip-mueller / equivariant-deep-dmri
  Rotationally and translationally equivariant layers and networks for deep learning on diffusion MRI scans
  ☆24Updated 4 years ago
• matthieutrs / ram
  Official implementation of the Reconstruct Anything Model (RAM)
  ☆52Updated 6 months ago
• AxelElaldi / e3so3_conv
  E3xSO3 convolution implementation presented at MIDL 2023 https://openreview.net/pdf?id=lri_iAbpn_r
  ☆14Updated 2 years ago
• liyues / NeRP
  Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
  ☆111Updated 2 years ago
• hyungjin-chung / DDS
  Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Acceler…
  ☆75Updated last year
• alexdenker / SteerableConditionalDiffusion
  An implementation of Steerable Conditional Diffusion Sampler
  ☆15Updated 9 months ago
• iwuqing / ArSSR
  [IEEE J-BHI] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation
  ☆83Updated 2 years ago
• berthyf96 / score_prior
  Score-Based Priors for Bayesian Inverse Imaging (ICCV 2023, TMLR 2024)
  ☆40Updated last year
• 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
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆37Updated 5 years ago
• INR4MICCAI / INRTutorial
  Coding Tutorial Page for MICCAI24's tutorial on implicit neural representations for medical imaging,
  ☆31Updated 7 months ago
• TIDESlab / ITS
  [ICASSP 2024] Boosting of Implicit Neural Representation-based Image Denoiser
  ☆15Updated last year
• MIAGroupUT / IDIR
  Code for the MIDL 2022 paper Implicit Neural Representations for Deformable Image Registration
  ☆52Updated last year
• HeSunPU / DPI
  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
  ☆38Updated 3 years ago
• HannahKniesel / Implicit-Electron-Tomography
  ☆20Updated last year
• Hanyu-Chen373 / DeepDataConsistency
  Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
  ☆26Updated 2 months ago
• NVlabs / SMRD
  SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models
  ☆33Updated 2 years ago
• vasl12 / SINR
  https://openreview.net/pdf?id=V5XDYSRcQP
  ☆14Updated 8 months ago
• NVlabs / RED-diff
  ☆102Updated 2 years ago
• jleuschn / dival
  Deep Inversion Validation Library
  ☆82Updated 11 months ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 4 years ago
• pputzky / irim_fastMRI
  i-RIM applied to the fastMRI challenge data.
  ☆28Updated 4 years ago
• jasonhu4 / PaDIS
  ☆14Updated 5 months ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 3 years ago
• xmed-lab / DIF-Net
  MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
  ☆77Updated 5 months ago