Alternatives and similar repositories for esm3-on-amazon-sagemaker

Users that are interested in esm3-on-amazon-sagemaker are comparing it to the libraries listed below

• aws-solutions-library-samples / aws-batch-arch-for-protein-folding
  ☆79Updated last month
• brianhie / efficient-evolution
  Efficient evolution from protein language models
  ☆217Updated 2 years ago
• Zuricho / ParallelFold
  Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting…
  ☆172Updated last year
• aws-samples / aws-rosettafold
  Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.
  ☆22Updated 3 years ago
• churchlab / UniRep
  UniRep model, usage, and examples.
  ☆358Updated 3 years ago
• Merck / BioPhi
  BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluatio…
  ☆213Updated 6 months ago
• NVIDIA / digital-biology-examples
  NVIDIA Digital Biology examples for optimized inference and training at scale
  ☆190Updated last week
• debbiemarkslab / DeepSequence
  A generative latent variable model for biological sequence families.
  ☆242Updated 3 years ago
• ml4bio / RNA-FM
  Nature Methods: RNA foundation model (together with RhoFold)
  ☆327Updated 6 months ago
• debbiemarkslab / EVcouplings
  Evolutionary couplings from protein and RNA sequence alignments
  ☆291Updated last month
• adaptyvbio / ProteinFlow
  Versatile computational pipeline for processing protein structure data for deep learning applications.
  ☆269Updated last year
• RosettaCommons / RFantibody
  ☆392Updated last month
• virtualramblas / awesome-deep-learning-4-life-sciences
  A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
  ☆144Updated 2 months ago
• aws-samples / drug-discovery-workflows
  ☆53Updated last week
• RosettaCommons / DeepAb
  Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.
  ☆167Updated 3 years ago
• FreshAirTonight / af2complex
  Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
  ☆165Updated last year
• microsoft / protein-sequence-models
  ☆253Updated last year
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆104Updated 4 years ago
• oxpig / ANARCI
  Antibody Numbering and Antigen Receptor ClassIfication
  ☆250Updated last year
• Multiomics-Analytics-Group / course_protein_language_modeling
  ☆45Updated 4 months ago
• Sanofi-Public / CodonBERT
  Repository for mRNA Paper and CodonBERT publication.
  ☆134Updated last year
• phbradley / alphafold_finetune
  Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions
  ☆166Updated last year
• ml4bio / RhoFold
  Nature Methods: RhoFold+, Accurate RNA 3D structure prediction using a language model-based deep learning approach
  ☆197Updated 6 months ago
• RosettaCommons / protein_generator
  Joint sequence and structure generation with RoseTTAFold sequence space diffusion
  ☆323Updated last year
• prihoda / AbNumber
  Convenience Python APIs for antibody numbering using ANARCI
  ☆109Updated 6 months ago
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆154Updated 2 years ago
• mheinzinger / ProstT5
  Bilingual Language Model for Protein Sequence and Structure
  ☆280Updated 11 months ago
• Rostlab / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆122Updated 5 years ago
• phbradley / TCRdock
  python tools for TCR:peptide-MHC modeling and analysis
  ☆84Updated last year
• flatironinstitute / DeepFRI
  Deep functional residue identification
  ☆341Updated 2 years ago