im2im-uq
importeddata/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.
- 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
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- 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)
- MRISkullStrippingbiomedical-image-processing · mri
Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.
- deepinvcomputational-imaging · microscopy
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
- FlexSIMcomputational-imaging · microscopy
A flexible SIM reconstruction method capable to handle difficult data prone to reconstruction artifacts.
- FPMcomputational-imaging · microscopy
Matlab simulation of Fourier ptychographic microscopy (FPM).
- api.github.com/repos/aangelopoulos/im2im-uqretrieved 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.
Not yet verified by a human. Correct this record →
/v1/entries/54.json→ .entries["im2im-uq"]
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