im2im-uq

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data/im2im-uq

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

Machine-generated from the listed sources and not yet reviewed by a human.

im2im-uq project image — GitHub preview card for aangelopoulos/im2im-uq. Served by its origin, not stored here, and not covered by this registry’s licence.

record

Category: Data & Standards
Subcategory: unknown
License: MIT(osi)
Status: dormant
Maturity: deployed
Organization: unknown
Country: unknown
Homepage: unknown
Repository: github.com/aangelopoulos/im2im-uq
Documentation: unknown
Tags: biomedical-data-science · biomedical-image-processing · computational-biology · computational-imaging · image-to-image-translation · machine-learning · microscopy · mri
Regulatory: unknown

built by · 2

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

MRISkullStrippingbiomedical-image-processing · mri
Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.
STABLEimage-to-image-translation · microscopy
Preserving Spatial and Quantitative Information in Unpaired Biomedical Image-to-Image Translation
3DRDN-CycleGANimage-to-image-translation · mri
Deep CNN for performing 3D super resolution on CT/MRI scans
pFLSynthimage-to-image-translation · mri
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)
deepinvcomputational-imaging · microscopy
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
event_super-resolutioncomputational-imaging · microscopy
Repo for Neuromorphic Imaging with Super-Resolution, IEEE TCSVT, 2025.

sources

api.github.com/repos/aangelopoulos/im2im-uq
retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-02-23, 61 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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/v1/entries/54.json→ .entries["im2im-uq"]

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