Alternatives and similar repositories for NPPC

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

• 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…
  ☆58Updated 2 years ago
• omerb01 / puq
  Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.
  ☆23Updated 2 years ago
• francois-rozet / diem
  Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization
  ☆34Updated 3 months ago
• soominkwon / resample
  Official implementation of ReSample (https://arxiv.org/abs/2307.08123)
  ☆82Updated last year
• NVlabs / RED-diff
  ☆102Updated 2 years ago
• matthieutrs / ram
  Official implementation of the Reconstruct Anything Model (RAM)
  ☆53Updated 6 months ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 5 years ago
• devzhk / InverseBench
  InverseBench (ICLR 2025 spotlight)
  ☆98Updated 3 months ago
• casus / cvdm
  ☆10Updated last year
• johertrich / Proximal_Neural_Networks
  Implementation for Proximal Neural Networks.
  ☆11Updated 4 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
• astro-informatics / QuantifAI
  PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driv…
  ☆12Updated 11 months ago
• jleuschn / cinn_for_imaging
  Conditional Invertible Neural Networks for Medical Imaging
  ☆20Updated 3 years ago
• LabForComputationalVision / universal_inverse_problem
  Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli
  ☆56Updated 5 years ago
• Hanyu-Chen373 / DeepDataConsistency
  Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
  ☆27Updated 2 months ago
• GBATZOLIS / conditional_score_diffusion
  PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
  ☆78Updated last year
• sherbret / normalization_equivariant_nn
  Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising" (NeurIPS'23)
  ☆13Updated 7 months ago
• siddharth-maddali / frft
  Fast implementation of the multi-dimensional fractional Fourier transform in Python
  ☆52Updated 3 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆39Updated last year
• berthyf96 / score_prior
  Score-Based Priors for Bayesian Inverse Imaging (ICCV 2023, TMLR 2024)
  ☆40Updated last year
• CACTuS-AI / GlowIP
  Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"
  ☆21Updated 5 years ago
• yang-song / score_inverse_problems
  Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
  ☆265Updated 3 years ago
• bahjat-kawar / gsure-diffusion
  ☆14Updated last year
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆200Updated 11 months ago
• soumickmj / pytorch-complex
  ☆56Updated last month
• JJGO / hyperlight
  Modular and intuitive Hypernetworks in Pytorch
  ☆40Updated 2 years ago
• utcsilab / csgm-mri-langevin
  ☆99Updated 4 years ago
• sun-umn / DMPlug
  This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).
  ☆72Updated 4 months ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆84Updated 4 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆52Updated 3 years ago