Alternatives and similar repositories for proteinnet

Users that are interested in proteinnet are comparing it to the libraries listed below

• aqlaboratory / rgn
  Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
  ☆327Updated 5 years ago
• dellacortelab / prospr
  ProSPr: Protein Structure Prediction
  ☆419Updated 2 years ago
• yangkky / Machine-learning-for-proteins
  Listing of papers about machine learning for proteins.
  ☆1,633Updated last year
• insilicomedicine / GENTRL
  Generative Tensorial Reinforcement Learning (GENTRL) model
  ☆619Updated 11 months ago
• churchlab / UniRep
  UniRep model, usage, and examples.
  ☆353Updated 3 years ago
• Mariewelt / OpenChem
  OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
  ☆715Updated last year
• LPDI-EPFL / masif
  MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
  ☆665Updated last year
• songlab-cal / tape
  Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…
  ☆710Updated 2 years ago
• molecularsets / moses
  Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
  ☆904Updated last year
• biolib / openprotein
  A PyTorch framework for prediction of tertiary protein structure
  ☆187Updated 4 years ago
• sacdallago / bio_embeddings
  Get protein embeddings from protein sequences
  ☆493Updated 2 years ago
• soedinglab / hh-suite
  Remote protein homology detection suite.
  ☆575Updated 8 months ago
• a-r-j / graphein
  Protein Graph Library
  ☆1,111Updated 2 weeks ago
• sokrypton / ColabDesign
  Making Protein Design accessible to all via Google Colab!
  ☆757Updated last month
• RosettaCommons / PyRosetta.notebooks
  Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
  ☆590Updated 11 months ago
• gnina / gnina
  A deep learning framework for molecular docking
  ☆739Updated last week
• jonathanking / sidechainnet
  An all-atom protein structure dataset for machine learning.
  ☆353Updated last year
• salesforce / progen
  Official release of the ProGen models
  ☆655Updated last year
• agemagician / ProtTrans
  ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit a…
  ☆1,225Updated last month
• gcorso / DiffDock
  Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
  ☆1,285Updated 2 months ago
• hypnopump / MiniFold
  MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm
  ☆208Updated 4 years ago
• BioPandas / biopandas
  Working with molecular structures in pandas DataFrames
  ☆731Updated 11 months ago
• Urinx / alphafold_pytorch
  An implementation of the DeepMind's AlphaFold based on PyTorch for research
  ☆397Updated 4 years ago
• dauparas / ProteinMPNN
  Code for the ProteinMPNN paper
  ☆1,349Updated 11 months ago
• aspuru-guzik-group / selfies
  Robust representation of semantically constrained graphs, in particular for molecules in chemistry
  ☆771Updated last month
• tbepler / protein-sequence-embedding-iclr2019
  Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
  ☆261Updated 4 years ago
• oddt / oddt
  Open Drug Discovery Toolkit
  ☆441Updated 2 years ago
• maxhodak / keras-molecules
  Autoencoder network for learning a continuous representation of molecular structures.
  ☆525Updated 11 months ago
• nadavbra / protein_bert
  ☆539Updated 3 months ago
• microsoft / foldingdiff
  Diffusion models of protein structure; trigonometry and attention are all you need!
  ☆547Updated last year