Alternatives and similar repositories for AAnet

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

• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆63Updated last year
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆52Updated 3 years ago
• scvae / scvae
  Deep learning for single-cell transcript counts
  ☆89Updated 5 months ago
• trungnt13 / sisua
  SemI-SUpervised generative Autoencoder models for single cell data
  ☆19Updated 4 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆75Updated 8 months ago
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆75Updated last year
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆41Updated 2 years ago
• KrishnaswamyLab / SAUCIE
  ☆100Updated 10 months ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• scverse / scvi-tools-skeleton
  Template repository for creating novel models with scvi-tools
  ☆20Updated 2 years ago
• Genentech / sVAE
  ☆63Updated 2 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆109Updated 11 months ago
• klarman-cell-observatory / scPhere
  ☆101Updated 2 years ago
• jlakkis / CarDEC
  ☆19Updated 4 years ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 2 years ago
• romain-lopez / scVI-reproducibility
  Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"
  ☆57Updated 6 years ago
• nitzanlab / biolord
  ☆81Updated last year
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆43Updated 2 years ago
• openproblems-bio / neurips2021-notebooks
  ☆30Updated 3 years ago
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 5 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• ChengF-Lab / autoCell
  ☆16Updated 3 years ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆69Updated 2 years ago
• dylkot / scsim
  Simulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells…
  ☆27Updated 3 years ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆58Updated 5 years ago
• Bertinus / FLeCS
  Functional and Learnable Cell dynamicS
  ☆17Updated 3 months ago
• zcang / SpaOTsc
  ☆45Updated last month