Alternatives and similar repositories for MoESimVAE:

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

• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆69Updated last year
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 5 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆49Updated 3 years ago
• ttgump / scDeepCluster_pytorch
  Pytorch implementation of scDeepCluster for Single Cell RNA-seq data
  ☆32Updated 8 months ago
• ttgump / spaVAE
  Dependency-aware deep generative models for multitasking analysis of spatial genomics data
  ☆34Updated 8 months ago
• jsxlei / scCLIP
  ☆27Updated last year
• JinmiaoChenLab / SpatialGlue
  SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
  ☆49Updated 8 months ago
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 4 years ago
• uhlerlab / cross-modal-autoencoders
  ☆54Updated 2 years ago
• romain-lopez / scVI-reproducibility
  Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"
  ☆56Updated 6 years ago
• sunericd / TISSUE
  TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation) provides tools for estimating well-calibrated uncertainty …
  ☆29Updated last year
• JiangBioLab / DeepST
  Identify spatial domain
  ☆68Updated last year
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆56Updated 7 months ago
• wehos / CellT
  An offical repo for paper "Single-cells are Spatial Tokens: Transformers for Spatially Resolved Transcriptomics Data Imputation"
  ☆17Updated last year
• Philyzh8 / scTAG
  "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022
  ☆21Updated 2 years ago
• AIH-SGML / mixmil
  Code for the paper: Mixed Models with Multiple Instance Learning
  ☆19Updated this week
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆25Updated last year
• xuebaliang / scziDesk
  Deep soft K-means clustering with self-training for single cell RNA sequence data
  ☆24Updated 4 years ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆31Updated last month
• AgatheSenellart / MultiVae
  Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
  ☆34Updated this week
• ttgump / scDeepCluster
  scDeepCluster for Single Cell RNA-seq data
  ☆100Updated 8 months ago
• KrishnaswamyLab / MIOFlow
  ☆23Updated 2 months ago
• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆41Updated 8 months ago
• kimmo1019 / JAE
  Single cell joint embedding and modality prediction with autoencoder
  ☆9Updated 2 years ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆143Updated 7 months 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…
  ☆38Updated 2 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 3 years ago
• DHUDBlab / scDSC
  ☆21Updated 3 years ago
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆41Updated 5 years ago
• cmzuo11 / scMVAE
  Deep joint-leaning single-cell multi-omics model
  ☆16Updated 2 years ago