Alternatives and similar repositories for treevae

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

• maxvanspengler / hyperbolic_learning_library
  An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
  ☆167Updated 7 months ago
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆206Updated last year
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆97Updated 2 years ago
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆55Updated last year
• iffsid / mmvae
  Multimodal Mixture-of-Experts VAE
  ☆213Updated 2 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 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
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆127Updated 2 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆81Updated last year
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated 2 years ago
• kaiwenzha / Rank-N-Contrast
  [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
  ☆115Updated 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
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated 11 months ago
• lcosmo / DGM_pytorch
  ☆54Updated 3 years ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆69Updated 6 years ago
• gabinsane / multimodal-vae-comparison
  Code for comparison of multimodal VAE models
  ☆29Updated 2 months 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
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆47Updated 6 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆102Updated 4 years ago
• xiaoiker / Awesome-Hyperbolic-NeuralNetworks
  Papers and Codes for the deep learning in hyperbolic space
  ☆178Updated 2 years ago
• TorchDR / TorchDR
  TorchDR - PyTorch Dimensionality Reduction
  ☆140Updated 2 weeks ago
• mil-tokyo / hyperbolic_nn_plusplus
  Official PyTorch implementation of Hyperbolic Neural Networks++
  ☆72Updated 4 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• ucals / cvae
  ☆73Updated 2 years ago
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 4 months ago
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆63Updated 2 years ago
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated last year