Models

A lexical baseline that scores a biomedical abstract against a fixed set of therapeutic areas.

A deterministic calculator rather than a learned model: average mass from an amino-acid sequence.

Message Passing Neural Networks for Molecule Property Prediction

State is a machine learning model that predicts cellular perturbation response across diverse contexts

A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies…

A deep learning-based tool to identify splice variants

Channel-agnostic image encoding model CA-MAE with a ViT-S/16 encoder backbone designed for microscopy image featurization.

State Embedding model checkpoints are meant to be used with the Arc State

Model artifact mirrored from the HuggingFace Hub.

This model performs both segmentation and classification on chest radiographs (X-rays).

An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO).

Model description - Intended uses and limitations - How to use - Limitations and bias - Training - Evaluation - Additional information - Author - Contact…