Alternatives and similar repositories for epistatic-net:

Users that are interested in epistatic-net are comparing it to the libraries listed below

• brianhie / uncertainty
  Learning with uncertainty for biological discovery and design
  ☆34Updated 2 years ago
• sokrypton / seqmodels
  ☆30Updated 4 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated 11 months ago
• xinformatics / alphafold
  Open source code for AlphaFold to extract protein embeddings
  ☆26Updated 3 years ago
• jertubiana / ProteinMotifRBM
  Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox
  ☆20Updated 6 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆108Updated 3 years ago
• alex-hh / deep-protein-generation
  ☆56Updated 2 years ago
• oxpig / saab_plus
  ☆25Updated 5 years 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".
  ☆57Updated 3 years ago
• microsoft / peft_proteomics
  LoRA for protein language models
  ☆36Updated last year
• HeliXonProtein / proximal-exploration
  PyTorch implementation for our paper "Proximal Exploration for Model-guided Protein Sequence Design"
  ☆35Updated last year
• ranganathanlab / bmDCA
  Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).
  ☆34Updated 4 years ago
• TurtleTools / geometricus
  A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
  ☆37Updated last year
• IBM / ReprogBERT
  Code for ICML 2023 paper "Reprogramming Pretrained Language Models for Antibody Sequence Infilling"
  ☆23Updated last year
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆97Updated last year
• yarongef / DistilProtBert
  DistilProtBert implementation, a distilled version of ProtBert model.
  ☆15Updated 2 years ago
• leojklarner / Q-SAVI
  Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
  ☆24Updated last year
• Doudna-lab / GARNET_DL
  ☆36Updated 2 months ago
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆48Updated 4 months ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆24Updated last year
• genedisco / genedisco
  GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
  ☆37Updated last year
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆35Updated 3 years ago
• wells-wood-research / PDBench
  PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.
  ☆28Updated 2 years ago
• csi-greifflab / developability_profiling
  ☆21Updated 2 months ago
• pagnani / ArDCA.jl
  Autoregressive networks for protein
  ☆36Updated last month
• psipred / DMPfold
  De novo protein structure prediction using iteratively predicted structural constraints
  ☆57Updated 3 years ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆19Updated 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
• aaronkollasch / seqdesign-pytorch
  Protein design and variant prediction using autoregressive generative models
  ☆23Updated 2 years ago
• CongLabCode / RoseTTAFold2-PPI
  Fast deep learning methods for large-scale protein-protein interaction screening
  ☆36Updated 5 months ago