Alternatives and similar repositories for bio-datasets

Users that are interested in bio-datasets are comparing it to the libraries listed below

• DeepChainBio / deepchain-apps
  A library for deploying App on deepchain.bio
  ☆30Updated 3 years ago
• DeepChainBio / bio-transformers
  bio-transformers is a wrapper on top of the ESM/Protbert model, trained on millions on proteins and used to predict embeddings.
  ☆151Updated last year
• instadeepai / manyfold
  🧬 ManyFold: An efficient and flexible library for training and validating protein folding models
  ☆81Updated 2 years ago
• fhalab / MLDE
  A machine-learning package for navigating combinatorial protein fitness landscapes.
  ☆125Updated 3 years ago
• chloechsu / combining-evolutionary-and-assay-labelled-data
  ☆64Updated 3 years ago
• NREL / EvoProtGrad
  Directed evolution of proteins in sequence space with gradients
  ☆86Updated 10 months ago
• ivanjayapurna / low-n-protein-engineering
  A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented …
  ☆27Updated 4 years ago
• oxpig / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆141Updated 4 months ago
• phbradley / alphafold_finetune
  Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions
  ☆151Updated last year
• martinez-zacharya / TRILL
  Sandbox for Deep-Learning based Computational Protein Design
  ☆112Updated this week
• debbiemarkslab / EVmutation
  Mutation effects predicted from sequence co-variation
  ☆66Updated 7 years ago
• duerrsimon / folding_tools
  A collection of *fold* tools
  ☆21Updated 2 years ago
• hefeda / design_tools
  A compilation of deep learning methods for protein design
  ☆97Updated 2 years ago
• fhalab / evSeq
  Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.
  ☆34Updated 3 years ago
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆59Updated 2 years ago
• csi-greifflab / Absolut
  Unconstrained lattice antibody-antigen bindings generator
  ☆110Updated 11 months ago
• instadeepai / FrameDiPT
  FrameDiPT: an SE(3) diffusion model for protein structure inpainting
  ☆55Updated last year
• OpenProteinAI / PoET
  Inference code for PoET: A generative model of protein families as sequences-of-sequences
  ☆75Updated last year
• oxpig / AntiFold
  Improved antibody structure-based design using inverse folding
  ☆126Updated last month
• samsinai / FLEXS
  Fitness landscape exploration sandbox for biological sequence design.
  ☆163Updated 2 years ago
• Rostlab / VESPA
  VESPA is a simple, yet powerful Single Amino Acid Variant (SAV) effect predictor based on embeddings of the Protein Language Model ProtT5…
  ☆31Updated last year
• aqlaboratory / rgn2
  ☆106Updated last year
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆106Updated last year
• debbiemarkslab / plmc
  Inference of couplings in proteins and RNAs from sequence variation
  ☆109Updated 2 years ago
• brianhie / efficient-evolution
  Efficient evolution from protein language models
  ☆207Updated last year
• ShintaroMinami / PyDSSP
  A simplified implementation of DSSP algorithm for PyTorch and NumPy
  ☆87Updated 2 weeks ago
• instadeepai / InstaNovo
  De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments
  ☆90Updated last week
• Merck / BioPhi
  BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluatio…
  ☆195Updated last month
• churchlab / low-N-protein-engineering
  Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".
  ☆59Updated 4 years ago
• prihoda / AbNumber
  Convenience Python APIs for antibody numbering using ANARCI
  ☆97Updated last month