Models
Model description - Intended uses and limitations - How to use - Limitations and bias - Training - Evaluation - Additional information - Author - Contact…
An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO).
This model performs both segmentation and classification on chest radiographs (X-rays).
Model artifact mirrored from the HuggingFace Hub.
State Embedding model checkpoints are meant to be used with the Arc State
Channel-agnostic image encoding model CA-MAE with a ViT-S/16 encoder backbone designed for microscopy image featurization.
A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies…
State is a machine learning model that predicts cellular perturbation response across diverse contexts
Message Passing Neural Networks for Molecule Property Prediction
A deterministic calculator rather than a learned model: average mass from an amino-acid sequence.
A lexical baseline that scores a biomedical abstract against a fixed set of therapeutic areas.