Models
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.
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).
ESM Protein Localization Model Model description The ESM Protein Localization Model is a deep learning model trained on protein sequences to predict their…
An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO).
An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO).
This repository contains 356 Pfam-level protein language model checkpoints generated for the study “Does domain-specific unsupervised fine-tuning improve…
This repository contains 254 Pfam-level protein language model checkpoints generated for the study “Does domain-specific unsupervised fine-tuning improve…
This repository contains 171 Clan-level protein language model checkpoints generated for the study “Does domain-specific unsupervised fine-tuning improve…
This repository contains 82 Clan-level protein language model checkpoints generated for the study “Does domain-specific unsupervised fine-tuning improve…
An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO).
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.
Pretrained model on protein sequences using a masked language modeling (MLM) objective.
An encoder-only, half-precision version of the ProtT5-XL-UniRef50 model.
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).
We have released ProtGPT3!
Mirror of the base ProGen2-small model (with slightly modified configuration and forward pass) by Nijkamp, et
Mirror of the base ProGen2-base model (with slightly modified configuration and forward pass) by Nijkamp, et
This set of model weights was released with the GitHub-compatible esm package format.
esm3-sm-open-v1 is trained on 2.78 billion natural proteins.
ESMFold is a state-of-the-art end-to-end protein folding model based on an ESM-2 backbone.
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…
Model artifact mirrored from the HuggingFace Hub.
Chai-1 is a multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of benchmarks.
Model artifact mirrored from the HuggingFace Hub.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Code for the ProteinMPNN paper
Source code repository mirrored from GitHub (dauparas/LigandMPNN).
Code for running RFdiffusion