bobby-he / uncertainr

Related projects ⓘ

Alternatives and complementary repositories for uncertainr

• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆67Updated last month
• samuelepapa / neural-field-arena
  ☆11Updated 10 months ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆26Updated 9 months ago
• HJ-harry / DDS
  Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Acceler…
  ☆49Updated last month
• NILOIDE / Implicit_segmentation
  ☆17Updated 11 months ago
• AxelElaldi / e3so3_conv
  E3xSO3 convolution implementation presented at MIDL 2023 https://openreview.net/pdf?id=lri_iAbpn_r
  ☆12Updated last year
• HeSunPU / DPI
  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
  ☆33Updated 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.
  ☆20Updated last year
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆29Updated 3 years ago
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆36Updated 4 years ago
• Hanyu-Chen373 / DeepDataConsistency
  Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
  ☆24Updated 5 months ago
• TIDESlab / ITS
  [ICASSP 2024] Boosting of Implicit Neural Representation-based Image Denoiser
  ☆12Updated 4 months ago
• mrirecon / spreco
  ☆19Updated last year
• MIAGroupUT / IDIR
  Code for the MIDL 2022 paper Implicit Neural Representations for Deformable Image Registration
  ☆38Updated 4 months ago
• vegarant / Invfool
  Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"
  ☆35Updated 4 years ago
• berthyf96 / score_prior
  Score-Based Priors for Bayesian Inverse Imaging
  ☆31Updated 2 months ago
• iwuqing / ArSSR
  [IEEE J-BHI] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation
  ☆60Updated last year
• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆58Updated 3 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆50Updated 2 years ago
• NVlabs / SMRD
  SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models
  ☆25Updated last year
• liyues / NeRP
  Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
  ☆88Updated last year
• sara-nl / 3D-VQ-VAE-2
  3D VQ-VAE-2 for high-resolution CT scan synthesis
  ☆43Updated 2 years ago
• philip-mueller / equivariant-deep-dmri
  Rotationally and translationally equivariant layers and networks for deep learning on diffusion MRI scans
  ☆22Updated 3 years ago
• joeshenouda / relu-inrs
  Learning ReLU INRs with B-spline wavelets.
  ☆11Updated 5 months ago
• utcsilab / csgm-mri-langevin
  ☆84Updated 2 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆29Updated 3 years ago
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆40Updated 4 years ago
• eboigne / PyTV-4D
  Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Cham…
  ☆32Updated last year
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 3 years ago
• efzero / PINER
  ☆17Updated last year