Alternatives and similar repositories for SVGP-VAE:

Users that are interested in SVGP-VAE are comparing it to the libraries listed below

• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆51Updated last year
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆17Updated last year
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆16Updated last year
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆22Updated 2 years ago
• FelixOpolka / Deep-Gaussian-Process
  🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
  ☆27Updated last year
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆41Updated 4 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆28Updated 5 years ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆37Updated last year
• KrishnaswamyLab / MIOFlow
  ☆23Updated 2 months ago
• MichaelArbel / MMD-gradient-flow
  ☆12Updated 8 months ago
• akekic / causal-component-analysis
  ☆24Updated last year
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆34Updated 4 years ago
• causalbench / causalbench
  ☆40Updated 4 months ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 2 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆25Updated 3 years 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
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆17Updated last year
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 2 months ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆83Updated 6 years ago
• nerdslab / latentOT
  Latent optimal transport (LOT) for low rank transport and clustering
  ☆19Updated 3 years ago
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 3 years ago
• MarkPKCollier / MissingDataVAEs
  ☆19Updated 4 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆26Updated 2 years ago
• lntk / uot
  The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".
  ☆11Updated 4 years ago
• rpatrik96 / ima-vae
  This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…
  ☆23Updated 11 months ago