Alternatives and similar repositories for treevae

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

• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆97Updated 2 years ago
• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆40Updated last year
• maxvanspengler / hyperbolic_learning_library
  An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
  ☆163Updated 6 months ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• iffsid / mmvae
  Multimodal Mixture-of-Experts VAE
  ☆212Updated 2 years ago
• AgatheSenellart / MultiVae
  Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
  ☆43Updated this week
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆68Updated 6 years ago
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆206Updated last year
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆81Updated 11 months ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆55Updated last year
• khainb / Mini-batch-OT
  A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…
  ☆37Updated 2 years ago
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated last year
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆127Updated 2 years ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆17Updated last year
• xiaoiker / Awesome-Hyperbolic-NeuralNetworks
  Papers and Codes for the deep learning in hyperbolic space
  ☆177Updated 2 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated 2 years ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆36Updated 5 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆87Updated 3 years ago
• uhlerlab / actlearn_optint
  Active learning for optimal intervention design in causal models
  ☆16Updated last year
• microsoft / otdd
  Optimal Transport Dataset Distance
  ☆167Updated 3 years ago
• bunnech / phd_thesis
  PhD Thesis
  ☆34Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 3 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆101Updated 4 years ago
• insitro / ChannelViT
  Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words
  ☆64Updated last year
• lcosmo / DGM_pytorch
  ☆53Updated 3 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆47Updated 6 years ago
• KevinMoonLab / GRAE
  Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
  ☆23Updated last year
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆101Updated 2 years ago
• JakobHavtorn / hvae-oodd
  Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
  ☆30Updated 3 years ago