Open infrastructure for biological AI
Find, evaluate, and build on the world's biological models.
Models, datasets, and benchmarks across proteins, genomics, single-cell, and drug discovery — every result reproducible, every artifact versioned and openly licensed.
6
Models
6
Datasets
14
Benchmarks
78
Papers
Recent models
Browse all models → cell-imaging/monai
AI Toolkit for Healthcare Imaging
cell-imaging/subcellportable
This is a convenient code wrapper to run Lundberg lab SubCell model in inference with your own images
cell-imaging/cellpose
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
chem-ml/diffdock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
chem-ml/chemprop
Message Passing Neural Networks for Molecule Property Prediction
chem-ml/uni-mol
Official Repository for the Uni-Mol Series Methods
Recent datasets
Browse all datasets →cell-imaging/biostudies-database
The BioStudies database holds descriptions of biological studies, links to data from these studies in other databases at EMBL-EBI or outside, as well as data that do not fit in the structured archives at EMBL-EBI. The database can accept a wide range of types of studies described via a simple format. It also enables manuscript authors to submit supplementary information and link to it from the pub
cell-imaging/image-data-resource
Image Data Resource (IDR) is an online, public data repository that seeks to store, integrate and serve image datasets from published scientific studies. We have collected and are continuing to receive existing and newly created “reference image" datasets that are valuable resources for a broad community of users, either because they will be frequently accessed and cited or because they can serve
chem-ml/bindingdb
BindingDB is the first public database of protein-small molecule affinity data.
chem-ml/pubchem-compound
PubChem provides information on the biological activities of small molecules. It is a component of NIH's Molecular Libraries Roadmap Initiative. PubChem Compound archives chemical structures and records.
Reproducible
Every benchmark score traces to a pinned dataset, config, and commit.
Versioned
Immutable artifact revisions with full lineage between models and data.
Openly licensed
Clear, machine-readable licenses on every model and dataset.