Alternatives and similar repositories for uncertainty

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

• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆25Updated last year
• RMeli / gnina-torch
  🔥 PyTorch implementation of GNINA scoring function for molecular docking
  ☆69Updated 5 months ago
• Shen-Lab / gcWGAN
  Guided Conditional Wasserstein GAN for De Novo Protein Design
  ☆37Updated 4 years ago
• sarisabban / RamaNet
  Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
  ☆52Updated 5 months ago
• ericmjl / protein-interaction-network
  Computes a molecular graph for protein structures.
  ☆58Updated last month
• casperg92 / MaSIF_colab
  dMaSIF implementation for google colab
  ☆32Updated 2 years ago
• cansyl / MDeePred
  Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery
  ☆28Updated 4 years ago
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆60Updated 2 years ago
• dahjan / DMS_opt
  ☆72Updated 4 years ago
• GIST-CSBL / HoTS
  HoTS: Sequence-based prediction of binding regions and drug-target interactions.
  ☆27Updated 2 years ago
• rxn4chemistry / biocatalysis-model
  RXN for biochemical reactions
  ☆69Updated 2 years ago
• skinnider / low-data-generative-models
  ☆20Updated 4 years ago
• reymond-group / MLpeptide
  Machine Learning Designs Non-Hemolytic Antimicrobial Peptides
  ☆35Updated 4 years ago
• molecularmodelinglab / plantain
  Fast and accurate molecular docking with an AI pose scoring function
  ☆41Updated last year
• PaccMann / paccmann_kinase_binding_residues
  Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pub…
  ☆36Updated 2 years ago
• sirimullalab / DLSCORE
  DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity
  ☆48Updated 2 years ago
• NasimAbdollahi / NodeCoder
  NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.
  ☆33Updated last year
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆44Updated 2 years ago
• learningmatter-mit / peptimizer
  Peptide optimization with Machine Learning
  ☆77Updated 2 years ago
• recursionpharma / mole_public
  Recursion's molecular foundation model
  ☆57Updated 2 months ago
• brennanaba / ABlooper
  Tool for modelling the CDRs of antibodies
  ☆32Updated 2 years ago
• aaronkollasch / seqdesign-pytorch
  Protein design and variant prediction using autoregressive generative models
  ☆23Updated 2 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆88Updated 2 years ago
• ky66 / ROBIN
  An analysis of a new experimentally-derived nucleic acid binding chemical library
  ☆24Updated 2 years ago
• rxn4chemistry / rxnaamapper
  Reaction SMILES-AA mapping via language modelling
  ☆29Updated 11 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 5 years ago
• nanand2 / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆34Updated 4 years ago
• dina-lab3D / NanoNet
  ☆48Updated 2 years ago
• vsomnath / holoprot
  Multi-Scale Representation Learning on Proteins (NeurIPS 2021)
  ☆48Updated 2 years ago