Alternatives and similar repositories for NeuroSEED

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

• MachineLearningLifeScience / meaningful-protein-representations
  ☆109Updated 3 years ago
• snap-stanford / multiscale-interactome
  ☆66Updated last year
• alrojo / UniLanguage
  Homology reduced UniProt, train-/valid-/testsets for language modeling
  ☆16Updated 3 years ago
• mims-harvard / PDGrapher
  Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
  ☆24Updated last week
• wangshenguiuc / set2gaussian
  code repo for Set2Gaussian
  ☆15Updated 4 years ago
• lucidrains / tf-bind-transformer
  A repository with exploration into using transformers to predict DNA ↔ transcription factor binding
  ☆84Updated 2 years ago
• ml4bio / e2efold
  pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"
  ☆113Updated last year
• AstraZeneca / awesome-drug-pair-scoring
  Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
  ☆94Updated 2 years ago
• THUDM / ProteinLM
  Protein Language Model
  ☆117Updated last year
• Genentech / iterative-perturb-seq
  Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors
  ☆40Updated 11 months ago
• salesforce / genhance
  ☆34Updated 2 weeks ago
• BorgwardtLab / proteinshake
  Protein structure datasets for machine learning.
  ☆105Updated 3 weeks ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆102Updated 3 years ago
• lightonai / RITA
  RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Ma…
  ☆96Updated 2 years ago
• HarveyYan / RNAonGraph
  A repository for neural representational learning of RNA secondary structures
  ☆32Updated 5 years ago
• OpenBioML / protein-lm-scaling
  ☆59Updated last year
• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆72Updated 4 years ago
• amirmohan / epistatic-net
  Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…
  ☆18Updated 3 years ago
• xinformatics / alphafold
  Open source code for AlphaFold to extract protein embeddings
  ☆26Updated 3 years ago
• stamakro / GCN-for-Structure-and-Function
  Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"
  ☆39Updated last year
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆24Updated 9 months ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆42Updated 3 years ago
• bowang-lab / BIONIC
  Biological Network Integration using Convolutions
  ☆62Updated last year
• Vincentx15 / Equi-RC
  Equivariant layers for RC-complement symmetry in DNA sequence data
  ☆11Updated 3 years ago
• ml-jku / DeepRC
  DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning
  ☆118Updated last year
• Ieremie / TransformerGO
  ☆17Updated 3 years ago
• aedera / anc2vec
  Unsupervised neural network for learning embeddings of GO terms.
  ☆18Updated 3 years ago
• HannesStark / protein-localization
  Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…
  ☆63Updated last year
• DeepGraphLearning / PEER_Benchmark
  PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)
  ☆89Updated 2 years ago
• lucidrains / tr-rosetta-pytorch
  Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design
  ☆82Updated 3 years ago