Alternatives and similar repositories for im2im-uq

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

• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆32Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 3 years ago
• cvlab-epfl / iter_unc
  Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
  ☆18Updated last year
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆99Updated 2 years ago
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆66Updated 7 months ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• araujoalexandre / Lipschitz-SLL-Networks
  ☆10Updated 2 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 3 years ago
• omerb01 / puq
  Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.
  ☆24Updated last year
• fcaliva / fastMRI_BB_abnormalities_annotation
  ☆16Updated 4 years ago
• JJGO / hyperlight
  Modular and intuitive Hypernetworks in Pytorch
  ☆39Updated last year
• GBATZOLIS / conditional_score_diffusion
  PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
  ☆79Updated 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
• IamHuijben / Deep-Probabilistic-Subsampling
  ☆24Updated 4 years ago
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• devzhk / InverseBench
  InverseBench (ICLR 2025 spotlight)
  ☆83Updated 3 weeks ago
• bahjat-kawar / gsure-diffusion
  ☆14Updated last year
• IML-DKFZ / values
  A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
  ☆31Updated last year
• mlaves / uncertainty-deep-image-prior
  On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior
  ☆21Updated 5 years ago
• RonMcKay / UQGAN
  UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
  ☆11Updated 2 years ago
• EliasNehme / NPPC
  Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"
  ☆13Updated last year
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆65Updated 6 months ago
• marc-h-lambert / W-VI
  The companion code for the paper "Variational inference via Wasserstein gradient flows (W-VI) M. Lambert, S. Chewi, F. Bach, S. Bonnabel…
  ☆14Updated 2 years ago
• utcsilab / csgm-mri-langevin
  ☆99Updated 3 years ago
• Era-Dorta / tf_mvg
  Multivariate Gaussian distributions for Tensorflow.
  ☆23Updated 5 years ago
• ShreyasFadnavis / patch2self
  Patch2Self Denoising - NeurIPS 2020 Spotlight Presentation
  ☆26Updated 4 months ago
• CACTuS-AI / GlowIP
  Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"
  ☆21Updated 5 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆39Updated last year
• Timsey / pg_mri
  This repository is the official implementation of: Experimental design for MRI by greedy policy search (NeurIPS, 2020).
  ☆23Updated 3 years ago
• utcsilab / deepinpy
  Deep inverse problems in Python
  ☆60Updated 3 months ago