Alternatives and similar repositories for MultiVae

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

• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆71Updated last year
• cedricvincentcuaz / GDL
  Code for Online Graph Dictionary Learning
  ☆17Updated 3 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆36Updated 6 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
• chl8856 / DeepIMV
  A Variational Information Bottleneck Approach to Multi-Omics Data Integration
  ☆23Updated 4 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆54Updated 3 months ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• KrishnaswamyLab / MIOFlow
  ☆24Updated 4 months ago
• ethanhezhao / NBVAE
  Negative-Binomial VAE for discrete data
  ☆18Updated 4 years ago
• rvinas / HYFA
  Hypergraph Factorisation
  ☆23Updated 6 months ago
• BorgwardtLab / JointMDS
  Official implementation of Joint Multidimensional Scaling
  ☆21Updated last year
• carpenter-singh-lab / 2024_Arevalo_NeurIPS_MotiVE
  ☆18Updated 3 months ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• xinliangSun / AdaDR
  Drug repositioning with adaptive graph convolutional networks
  ☆15Updated 8 months ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆33Updated 4 months ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 3 years ago
• gcorso / NeuroSEED
  Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
  ☆73Updated last year
• gevaertlab / metalearning_survival
  ☆15Updated 4 years ago
• KatarinaYuan / awesome-single-cell-foundation
  Paper collection for single cell foundation models
  ☆32Updated last year
• pievos101 / GNN-SubNet
  Disease subnetwork detection with explainable Graph Neural Networks
  ☆23Updated last year
• DHUDBlab / scDSC
  ☆21Updated 3 years ago
• HongtengXu / Relational-Factorization-Model
  Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)
  ☆31Updated 2 years ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 8 months ago
• ggoh29 / Simplicial-neural-network-benchmark
  Simplicial neural network benchmarking software
  ☆17Updated 2 years ago
• kimmo1019 / JAE
  Single cell joint embedding and modality prediction with autoencoder
  ☆9Updated 2 years ago
• ZixiangLuo1161 / scGAE
  single-cell graph autoencoder
  ☆22Updated 3 years ago
• RaminHasibi / GraphFeatureAutoencoder
  A repo for implementation of Graph features autoencoder for expression values prediction and imputation
  ☆18Updated 4 years ago
• Genentech / sVAE
  ☆63Updated last year