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 deep learning-based tool to identify splice variants

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.