GaNDLF
importedsoftware/gandlf
A generalizable application framework for segmentation, regression, and classification using PyTorch
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- mlcommons
- Country
- unknown
- Homepage
- gandlf.org
- Repository
- github.com/mlcommons/GaNDLF
- Documentation
- unknown
- Tags
- biomedical-image-processing · classification · clinical-workflow · data-augmentation · deep-learning · framework · machine-learning · medical-image-analysis
- 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.
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Open source Python library for building bioimage analysis pipelines
- jkclinical-workflow
Bridging the gap between theory and bedside practice through open-access, physiologically-weighted, evidence based, decision support tools for anesthesia and intensive care.
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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
- MedViTclassification · medical-image-analysis
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
- rrwnetclassification · medical-image-analysis
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", published in Expert Systems with Applications (Dec 2024).
- api.github.com/repos/mlcommons/GaNDLFretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-08-16, 189 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/13.json→ .entries["gandlf"]
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