Alternatives and similar repositories for im2im-uq

Users that are interested in im2im-uq are comparing it to the libraries listed below

• FrederikWarburg / LaplaceAE
  ☆33Updated 3 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆99Updated 2 years ago
• cvlab-epfl / iter_unc
  Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
  ☆18Updated last year
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 3 years ago
• araujoalexandre / Lipschitz-SLL-Networks
  ☆10Updated 2 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
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆67Updated 8 months ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• mlaves / uncertainty-deep-image-prior
  On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior
  ☆21Updated 5 years ago
• omerb01 / puq
  Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.
  ☆24Updated 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
• Era-Dorta / tf_mvg
  Multivariate Gaussian distributions for Tensorflow.
  ☆23Updated 5 years ago
• IML-DKFZ / values
  A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
  ☆31Updated last year
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆65Updated 7 months ago
• GBATZOLIS / conditional_score_diffusion
  PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
  ☆79Updated last year
• IamHuijben / Deep-Probabilistic-Subsampling
  ☆24Updated 4 years ago
• vislearn / analyzing_inverse_problems
  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
  ☆103Updated 5 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆39Updated last year
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆34Updated 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
• gabrielvc / mcg_diff
  Official repository for the Monte Carlo guided Diffusion for Bayesian linear inverse problems paper:
  ☆20Updated 11 months ago
• bahjat-kawar / gsure-diffusion
  ☆14Updated last year
• valentyn1boreiko / DVCEs
  ☆43Updated last year
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• yang-song / score_inverse_problems
  Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
  ☆260Updated 3 years ago
• utcsilab / csgm-mri-langevin
  ☆99Updated 4 years ago
• ComputationalRadiationPhysics / InFlow
  ☆11Updated 4 years ago
• fcaliva / fastMRI_BB_abnormalities_annotation
  ☆16Updated 4 years ago
• ShreyasFadnavis / patch2self
  Patch2Self Denoising - NeurIPS 2020 Spotlight Presentation
  ☆26Updated 5 months ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆61Updated 3 years ago