Alternatives and similar repositories for CMOT

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

• suinleelab / contrastiveVI
  ☆56Updated last year
• sidhomj / DeepTCR_Cancer
  Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy
  ☆15Updated 3 years ago
• JinmiaoChenLab / SpatialGlue
  SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
  ☆71Updated last year
• ttgump / spaVAE
  Dependency-aware deep generative models for multitasking analysis of spatial genomics data
  ☆38Updated last year
• QuKunLab / MultiomeBenchmarking
  ☆50Updated 8 months ago
• Teichlab / celcomen
  ☆16Updated 2 weeks ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• KrishnaswamyLab / Gene-Signal-Pattern-Analysis
  Learning meaningful representations of genes
  ☆19Updated 4 months ago
• BioX-NKU / scButterfly
  A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
  ☆25Updated last year
• mcgilldinglab / scCross
  A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…
  ☆15Updated 3 months ago
• kakarotcq / Con-AAE
  ☆12Updated 2 years ago
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆28Updated last year
• ciortanmadalina / graph-sc
  ☆19Updated 3 years ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated 2 years ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆34Updated last year
• rvinas / HYFA
  Hypergraph Factorisation
  ☆26Updated 11 months ago
• const-ae / linear_perturbation_prediction-Paper
  ☆58Updated 3 months ago
• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆41Updated last year
• TencentAILabHealthcare / scPROTEIN
  ☆54Updated 11 months ago
• huidongchen / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆19Updated last year
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• ttgump / scDeepCluster_pytorch
  Pytorch implementation of scDeepCluster for Single Cell RNA-seq data
  ☆34Updated last year
• poseidonchan / TAPE
  Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
  ☆56Updated last year
• melobio / Concerto-reproducibility
  ☆40Updated 2 years ago
• hongleir / SpaceFlow
  ☆30Updated 2 years ago
• bwalker1 / NeST
  ☆13Updated 2 years ago
• xianglin226 / scMDC
  Single Cell Multi-omics deep clustering
  ☆28Updated 4 months ago
• PYangLab / Matilda
  Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…
  ☆22Updated 5 months ago
• SabbaghCodes / ImbalancedLearningForSingleCellFoundationModels
  Code for the benchmarking single-cell foundation models (scGPT, scBERT, and Geneformer) for cell-type annotation task using skewed single…
  ☆15Updated 11 months ago