Alternatives and similar repositories for treevae

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

• gemoran / sparse-vae-code
  ☆31Updated 3 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆58Updated 3 months ago
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆215Updated 2 years ago
• iffsid / mmvae
  Multimodal Mixture-of-Experts VAE
  ☆220Updated 2 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆84Updated last year
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆131Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆100Updated 2 years ago
• insitro / ChannelViT
  Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words
  ☆71Updated last year
• uhlerlab / actlearn_optint
  Active learning for optimal intervention design in causal models
  ☆16Updated 2 years ago
• lcosmo / DGM_pytorch
  ☆55Updated 3 years ago
• Gourang97 / Causal-Variational-Autoencoders
  Causal Variational AutoEncoders
  ☆29Updated 5 years ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆18Updated last year
• kaiwenzha / Rank-N-Contrast
  [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
  ☆131Updated last year
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆19Updated 2 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆90Updated 2 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆72Updated 6 years ago
• gabinsane / multimodal-vae-comparison
  Code for comparison of multimodal VAE models
  ☆32Updated 7 months ago
• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆40Updated 2 years ago
• mmcdermott / EventStreamGPT
  Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex intern…
  ☆116Updated 5 months ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆39Updated 5 years ago
• maxvanspengler / hyperbolic_learning_library
  An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
  ☆174Updated 11 months ago
• bunnech / phd_thesis
  PhD Thesis
  ☆37Updated 2 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• psanch21 / causal-flows
  ☆52Updated last year
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆105Updated 4 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• TorchDR / TorchDR
  TorchDR - PyTorch Dimensionality Reduction
  ☆177Updated last month
• AgatheSenellart / MultiVae
  Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
  ☆60Updated 3 weeks ago