Alternatives and similar repositories for neurips2021-notebooks

Users that are interested in neurips2021-notebooks are comparing it to the libraries listed below

• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 2 years ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆43Updated 2 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆63Updated last year
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆110Updated last year
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 2 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated 11 months ago
• suinleelab / contrastiveVI
  ☆56Updated last year
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 9 months ago
• welch-lab / VeloVAE
  Deep Generative Modeling of RNA Velocity
  ☆35Updated 5 months ago
• klarman-cell-observatory / scPhere
  ☆102Updated 2 years ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆111Updated last year
• wangshenguiuc / OnClass
  Single cell typing based on cell ontology
  ☆52Updated last year
• Genentech / sVAE
  ☆63Updated 2 years ago
• const-ae / linear_perturbation_prediction-Paper
  ☆54Updated 2 months ago
• PayamDiba / SERGIO
  A simulator for single-cell expression data guided by gene regulatory networks
  ☆65Updated last year
• HantaoShu / DeepSEM
  ☆85Updated 2 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• QuKunLab / MultiomeBenchmarking
  ☆49Updated 7 months ago
• bm2-lab / scMVP
  ☆33Updated 5 months ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆70Updated 2 years ago
• nitzanlab / biolord
  ☆84Updated last year
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆36Updated 5 years ago
• openproblems-bio / neurips2021_multimodal_topmethods
  ☆78Updated 3 years ago
• ArcInstitute / cell-load
  pytorch dataloaders for single-cell perturbation data
  ☆30Updated last week
• yulun-rayn / graphVCI
  Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)
  ☆19Updated 3 months ago
• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆41Updated last year
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆76Updated 7 months ago