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
• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆69Updated last year
• efzero / PINER
  ☆20Updated 2 years ago
• mmuckley / torchkbnufft
  A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
  ☆245Updated last year
• philip-mueller / equivariant-deep-dmri
  Rotationally and translationally equivariant layers and networks for deep learning on diffusion MRI scans
  ☆24Updated 4 years ago
• vishwa91 / wire
  wavelet implicit neural representations
  ☆171Updated 2 years ago
• samuelepapa / neural-field-arena
  ☆12Updated 2 years ago
• hyungjin-chung / DDIP3D
  ☆56Updated last year
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 4 years ago
• jleuschn / dival
  Deep Inversion Validation Library
  ☆82Updated 11 months ago
• MIAGroupUT / IDIR
  Code for the MIDL 2022 paper Implicit Neural Representations for Deformable Image Registration
  ☆50Updated last year
• hyungjin-chung / DDS
  Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Acceler…
  ☆74Updated last year
• SteffenCzolbe / pyLDDMM
  Python Implementation of the LDDMM algorithm
  ☆56Updated 5 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated 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
• liyues / NeRP
  Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
  ☆107Updated 2 years ago
• NVlabs / RED-diff
  ☆102Updated 2 years ago
• iwuqing / ArSSR
  [IEEE J-BHI] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation
  ☆82Updated 2 years ago
• vasl12 / SINR
  https://openreview.net/pdf?id=V5XDYSRcQP
  ☆13Updated 7 months ago
• INR4MICCAI / INRTutorial
  Coding Tutorial Page for MICCAI24's tutorial on implicit neural representations for medical imaging,
  ☆31Updated 6 months ago
• SURF-ML / 3D-VQ-VAE-2
  3D VQ-VAE-2 for high-resolution CT scan synthesis
  ☆51Updated 3 years ago
• xmed-lab / C2RV-CBCT
  CVPR 2024, "C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction"
  ☆44Updated 10 months ago
• mlaves / uncertainty-deep-image-prior
  On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior
  ☆21Updated 5 years ago
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆32Updated 4 years 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-Gaussian
  MICCAI 2024: Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
  ☆64Updated 10 months ago
• AxelElaldi / e3so3_conv
  E3xSO3 convolution implementation presented at MIDL 2023 https://openreview.net/pdf?id=lri_iAbpn_r
  ☆13Updated 2 years ago
• mabulnaga / multimorph
  On-demand atlas construction for any neuroimaging study
  ☆16Updated 6 months ago
• ahendriksen / msd_pytorch
  A Pytorch implementation of the mixed-scale dense network described in https://doi.org/10.1073/pnas.1715832114
  ☆24Updated 2 years ago
• HeSunPU / DPI
  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
  ☆38Updated 3 years ago