Models

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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…

Other mit

This is a convenient code wrapper to run Lundberg lab SubCell model in inference with your own images

Imaging mit

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Chemistry mit

Official Repository for the Uni-Mol Series Methods

Chemistry mit

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

Single-cell mit

UCE is a zero-shot foundation model for single-cell gene expression data

Single-cell mit

Source code repository mirrored from GitHub (bowang-lab/scGPT).

Single-cell mit

Source code repository mirrored from GitHub (dauparas/LigandMPNN).

Protein mit

Code for the ProteinMPNN paper

Protein mit

Model artifact mirrored from the HuggingFace Hub.

Protein mit

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…

Protein mit

ESMFold is a state-of-the-art end-to-end protein folding model based on an ESM-2 backbone.

Protein mit

This set of model weights was released with the GitHub-compatible esm package format.

Protein mit

AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP (UR100P).

Protein mit

AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP (UR100P).

Protein mit

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

Protein mit

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

Protein mit

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective.

Protein mit

This repository contains a fine-tuned Vision Transformer (ViT) model for classifying chest X-ray images, utilizing the CheXpert dataset.

Imaging mit

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…

Literature mit
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