Alternatives and similar repositories for conformal-protein-retrieval:

Users that are interested in conformal-protein-retrieval are comparing it to the libraries listed below

• tymor22 / protein-vec
  Repository for Protein-Vec, a protein embedding mixture of experts model
  ☆37Updated 11 months ago
• lehner-lab / domainome
  ☆11Updated last month
• Doudna-lab / GARNET_DL
  ☆33Updated this week
• songlab-cal / CPT
  Cross-protein transfer learning for variant effect prediction
  ☆18Updated last year
• microsoft / protein-transfer
  ☆26Updated 8 months ago
• Bitbol-Lab / Phylogeny-MSA-Transformer
  Supporting repository for "Protein language models trained on multiple sequence alignments learn phylogenetic relationships" (https://www…
  ☆17Updated this week
• CongLabCode / RoseTTAFold2-PPI
  Fast deep learning methods for large-scale protein-protein interaction screening
  ☆29Updated 3 months ago
• brianhie / uncertainty
  Learning with uncertainty for biological discovery and design
  ☆33Updated last year
• lehner-lab / doubledeepms
  Source code for fitting thermodynamic models (MoCHI), downstream analyses and to reproduce all figures in the following publication: Mapp…
  ☆19Updated last year
• AbSciBio / igdesign
  ☆27Updated last week
• aaronkollasch / seqdesign-pytorch
  Protein design and variant prediction using autoregressive generative models
  ☆23Updated last year
• csi-greifflab / manuscript_insilico_antibody_generation
  ☆23Updated 3 years ago
• refresh-bio / protestar
  Protein Structure Archiver
  ☆12Updated 7 months ago
• TattaBio / gLM2
  ☆56Updated 3 months ago
• KULL-Centre / _2022_functional-sites-cagiada
  ☆21Updated last year
• Llannelongue / B4PPI
  Benchmarking Pipeline for Prediction of Protein-Protein Interactions
  ☆11Updated 2 years ago
• kWeissenow / MutAmore
  Rendering protein mutation movies from predicted 3D structures
  ☆20Updated last year
• proteinphysiologylab / frustratometeR
  ☆33Updated 3 months ago
• Rostlab / EAT
  Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…
  ☆29Updated 2 years ago
• TurtleTools / geometricus
  A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
  ☆38Updated last year
• TattaBio / OMG
  ☆30Updated 5 months ago
• graph-part / graph-part
  GraphPart, a data partitioning method for ML on biological sequences
  ☆23Updated last year
• jlparkI / AntPack
  Tools for annotation, processing and ML for antibody sequences
  ☆24Updated 2 weeks ago
• sokrypton / seqsal
  ☆11Updated 3 years ago
• ahaldane / Mi3-GPU
  ☆16Updated last month
• microsoft / protnote
  ProtNote is a multimodal deep learning model that leverages free-form text to enable both supervised and zero-shot protein function predi…
  ☆33Updated last week
• microsoft / peft_proteomics
  LoRA for protein language models
  ☆31Updated 11 months ago
• JudeWells / chainsaw
  ☆30Updated 3 months ago
• 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".
  ☆56Updated 3 years ago
• jurgjn / af-protein-universe
  ☆21Updated last year