Models

An Amharic-language variant of Gemma-3-27B-MeditronFO, from EPFL's LiGHT laboratory and the MeditronFO pipeline.

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

Code for running RFdiffusion

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

This is the official pre-trained model introduced in DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species

esm3-sm-open-v1 is trained on 2.78 billion natural proteins.

An encoder-only, half-precision version of the ProtT5-XL-UniRef50 model.

Pretrained model on protein sequences using a masked language modeling (MLM) objective.

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

Model artifact mirrored from the HuggingFace Hub.

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

Model artifact mirrored from the HuggingFace Hub.