AD-ML
importedsoftware/ad-ml
Framework for the reproducible classification of Alzheimer's disease using machine learning
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- aramis-lab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/aramis-lab/AD-ML
- Documentation
- unknown
- Tags
- alzheimer-disease · machine-learning · neuroimaging · python · scikit-learn
- 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.
- CNN_design_for_ADalzheimer-disease
Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"
- Blooddonorpredictionscikit-learn
Thanks to digitization, we often have access to large databases, consisting of various fields of information, ranging from numbers to texts and even boolean values. Such databases lend themselves…
- robertscikit-learn
Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.
- acerta-abideneuroimaging
Deep learning using the ABIDE data
- ActflowToolboxneuroimaging
The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine…
- advanced_fMRI_courseneuroimaging
List of ressources and practicals used for the fMRI data analysis course of UoB (UK) (2014-2017)
- api.github.com/repos/aramis-lab/AD-MLretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-05-31, 43 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/62.json→ .entries["ad-ml"]
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