Models
Biomni-R0-32B-Preview is a biomedical AI agent model from Stanford (Leskovec lab): Qwen3-32B trained by multi-turn reinforcement learning inside the Biomni…
This is a convenient code wrapper to run Lundberg lab SubCell model in inference with your own images
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
UCE is a zero-shot foundation model for single-cell gene expression data
Source code repository mirrored from GitHub (bowang-lab/scGPT).
Source code repository mirrored from GitHub (dauparas/LigandMPNN).
Boltz-1 is an open-source model which predicts the 3D structure of proteins, rna, dna and small molecules; it handles modified residues, covalent ligands and…
ESMFold is a state-of-the-art end-to-end protein folding model based on an ESM-2 backbone.
This set of model weights was released with the GitHub-compatible esm package format.
AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP (UR100P).
AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP (UR100P).
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.
This repository contains a fine-tuned Vision Transformer (ViT) model for classifying chest X-ray images, utilizing the CheXpert dataset.
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or…
BiomedCLIP is a biomedical vision-language foundation model that is pretrained on PMC-15M, a dataset of 15 million figure-caption pairs extracted from…
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.
CXR-BERT is a chest X-ray (CXR) domain-specific language model that makes use of an improved vocabulary, novel pretraining procedure, weight regularization,…
Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language…
The Publicly Available Clinical BERT Embeddings paper contains four unique clinicalBERT models: initialized with BERT-Base (casedL-12H-768A-12) or BioBERT…
This model was previously named "PubMedBERT (abstracts + full text)".