spyrit
importedsoftware/spyrit
A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- LGPL-3.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- openspyrit
- Country
- unknown
- Homepage
- spyrit.readthedocs.io/en/
- Repository
- github.com/openspyrit/spyrit
- Documentation
- unknown
- Tags
- deep-learning · image-reconstruction · medical-imaging · pypi · python · single-pixel-camera · torch
- 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.
- LG-GNNmedical-imaging · torch
This repo is the official implementation of "Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks" published in IEEE Transactions on Medical Imaging.
- MultiQCpypi
Aggregate results from bioinformatics analyses across many samples into a single report.
- adell-mritorch
A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.
- DeepMotiftorch
Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications
- deepinvimage-reconstruction · medical-imaging
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
- MambaRollimage-reconstruction · medical-imaging
Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)
- api.github.com/repos/openspyrit/spyritretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-01, 66 stars, license reported as LGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/24.json→ .entries["spyrit"]
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