Alternatives and similar repositories for treevae:

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

• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆40Updated last year
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆17Updated last year
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆96Updated last year
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 3 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆54Updated 2 months ago
• TorchDR / TorchDR
  TorchDR - PyTorch Dimensionality Reduction
  ☆108Updated last week
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆53Updated last year
• AngelosNal / PyTorch-Gumbel-Sigmoid
  Implementation of the Gumbel-Sigmoid distribution in PyTorch.
  ☆20Updated 2 years ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated last year
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆59Updated 3 years ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆17Updated last year
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆25Updated 2 years ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated 8 months ago
• bunnech / phd_thesis
  PhD Thesis
  ☆32Updated last year
• CausalTriplet / causaltriplet
  [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
  ☆30Updated 2 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• suinleelab / vit-shapley
  ☆33Updated 9 months ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated last year
• Gourang97 / Causal-Variational-Autoencoders
  Causal Variational AutoEncoders
  ☆28Updated 5 years ago
• bifold-pathomics / xMIL
  xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
  ☆15Updated 2 months ago
• 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
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• ondrejbohdal / meta-calibration
  Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
  ☆34Updated last year