Alternatives and similar repositories for NBVAE:

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

• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆31Updated last month
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• Genentech / dcdfg
  ☆23Updated 2 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆52Updated 3 years ago
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆68Updated last year
• jxnl / dirichlet-vae
  investigating use of variational auto encoders with multinomial latent variables for unsupervised data.
  ☆24Updated 7 years 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
• AgatheSenellart / MultiVae
  Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
  ☆32Updated this week
• zehsilva / sparse-poisson-factorization
  Poisson Matrix and Tensor Factorization with sparse input and internal representations
  ☆16Updated 5 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆35Updated 3 months ago
• PayamDiba / SERGIO
  A simulator for single-cell expression data guided by gene regulatory networks
  ☆58Updated 9 months ago
• causalbench / causalbench
  ☆35Updated 3 months ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆123Updated last year
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆30Updated 2 years ago
• rsonthal / TreeRep
  Learning Tree structures and Tree metrics
  ☆23Updated 6 months ago
• rachtsingh / ibp_vae
  mean-field and structured VAEs for the IBP
  ☆23Updated 7 years ago
• sophieburkhardt / dirichlet-vae-topic-models
  implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow
  ☆49Updated 2 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆21Updated 8 months ago
• facebookresearch / PoincareMaps
  The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…
  ☆147Updated 3 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• Genentech / sVAE
  ☆58Updated last year
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆72Updated 3 years ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• danielkunin / Regularized-Linear-Autoencoders
  Loss Landscapes of Regularized Linear Autoencoders
  ☆144Updated 2 years ago
• blei-lab / ars-reparameterization
  Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
  ☆39Updated 7 years ago
• welch-lab / MichiGAN
  Learning disentangled representations of single-cell data for high-quality generation
  ☆15Updated 11 months ago
• ManchesterBioinference / GrandPrix
  GrandPrix
  ☆16Updated 5 years ago
• rvinas / GTEx-imputation
  Gene Expression Imputation with Generative Adversarial Imputation Nets
  ☆12Updated last year
• Murali-group / BoolODE
  Git Repo for simulating Boolean Models
  ☆33Updated 8 months ago
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆41Updated 4 years ago