Alternatives and similar repositories for GRAE

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

• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆153Updated 3 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆27Updated 3 years ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆103Updated 3 years ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆22Updated 2 years ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 5 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated last year
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆58Updated 3 months ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆105Updated 4 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated last month
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆23Updated 2 years ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆42Updated 5 years ago
• BorgwardtLab / JointMDS
  Official implementation of Joint Multidimensional Scaling
  ☆23Updated 2 years ago
• clarafy / conformal-for-design
  ☆29Updated 3 years ago
• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆40Updated 2 years ago
• yliess86 / BayeFormers
  General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…
  ☆45Updated 5 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆86Updated 7 years ago
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆19Updated 2 years ago
• bunnech / phd_thesis
  PhD Thesis
  ☆39Updated 2 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆72Updated 6 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆25Updated last year
• CharlotteMagister / GCExplainer
  ☆19Updated last year
• dimkal89 / rvae
  ☆37Updated 5 years ago
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆29Updated 3 years ago
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆15Updated 5 years ago
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆24Updated last year
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆75Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• gemoran / sparse-vae-code
  ☆31Updated 3 years ago