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
  ☆45Updated 2 years ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆20Updated 2 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆55Updated last year
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆41Updated 5 years ago
• Genentech / MMFM
  ☆13Updated 9 months ago
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆23Updated 3 years ago
• Genentech / nodags-flows
  ☆11Updated 3 weeks ago
• KrishnaswamyLab / MIOFlow
  ☆29Updated last week
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆19Updated last year
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated 2 years ago
• bunnech / phd_thesis
  PhD Thesis
  ☆36Updated last year
• MichaelArbel / MMD-gradient-flow
  ☆12Updated last year
• 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 last year
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆123Updated last year
• zhenyiizhang / DeepRUOT
  Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport (ICLR'25 oral)
  ☆22Updated 2 weeks ago
• gemoran / sparse-vae-code
  ☆31Updated 2 years ago
• akekic / causal-component-analysis
  ☆25Updated last year
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆18Updated last year
• psanch21 / causal-flows
  ☆51Updated last year
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆101Updated 4 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago
• trneedham / QuantizedGromovWasserstein
  Scalable framework for comparing metric measure spaces with up to 1M points.
  ☆15Updated 4 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆27Updated 2 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆85Updated 6 years ago
• Robert-Aduviri / Continuous-Bernoulli-VAE
  Reproducing the paper "The continuous Bernoulli: fixing a pervasive error in variational autoencoders" for the Reproducibility Challenge …
  ☆11Updated last year
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated 9 months ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆38Updated 5 years ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆25Updated last year
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated last year