KevinMoonLab / GRAE

Related projects: ⓘ

• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆43Updated last year
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆46Updated 6 months ago
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆13Updated 10 months ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆16Updated 8 months ago
• gemoran / sparse-vae-code
  ☆31Updated last year
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆37Updated 6 months ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆19Updated 3 years ago
• KrishnaswamyLab / MIOFlow
  ☆19Updated 3 weeks ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆14Updated last year
• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆38Updated last year
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆41Updated last year
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 3 years ago
• younglululu / DeepPINK
  DeepPINK: reproducible feature selection in deep neural networks
  ☆21Updated 6 months ago
• clarafy / conformal-for-design
  ☆29Updated last year
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆26Updated 4 years ago
• ChengzijunAixiaoli / PPMM
  Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]
  ☆16Updated 3 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆25Updated 3 years ago
• nerdslab / latentOT
  Latent optimal transport (LOT) for low rank transport and clustering
  ☆20Updated 3 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆27Updated 5 years ago
• is0383kk / Pytorch_VAE-GMM
  Implementation of a model to make VAE and GMM train from each other
  ☆25Updated 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…
  ☆41Updated 3 years ago
• samuela / oi-vae
  Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"
  ☆26Updated 4 years ago
• dmilios / dirichletGPC
  ☆17Updated 5 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆51Updated 2 months ago
• timrudner / S-FSVI
  Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
  ☆22Updated last year
• akekic / causal-component-analysis
  ☆21Updated 9 months ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆138Updated 2 years ago
• ahmedmalaa / evaluating-generative-models
  ☆16Updated last year
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆78Updated 2 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆30Updated 3 years ago