Alternatives and similar repositories for VCCA_pytorch:

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

• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• herandy / DEPICT
  ☆58Updated 7 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆67Updated 5 years ago
• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆100Updated 5 years ago
• edchengg / VCCA-StudyNotes
  Canonical Correlation Analysis, Variational CCA
  ☆24Updated 6 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 4 years ago
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 3 years ago
• anonymous-iclr-2019 / acai-iclr-2019
  Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆20Updated 6 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆82Updated 6 years ago
• XinshaoAmosWang / Improving-Mean-Absolute-Error-against-CCE
  Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
  ☆30Updated 4 years ago
• sharonFogel / CPAC
  Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"
  ☆27Updated 6 years ago
• blueocean92 / deep_constrained_clustering
  ☆40Updated 2 years ago
• rflamary / JDOT
  Joint distribution optimal transportation for domain adaptation
  ☆99Updated 7 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆49Updated 7 years ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆57Updated 6 years ago
• Raymond-sci / PICA
  Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
  ☆58Updated 4 years ago
• lchapel / partial-GW-for-PU
  Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…
  ☆21Updated 5 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆33Updated 7 months ago
• IBM / wasserstein-barycenters
  Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…
  ☆22Updated 5 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆101Updated 6 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated last year
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆58Updated 2 years ago
• GiulsLu / OT-gradients
  ☆12Updated 6 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• HongtengXu / Relational-Factorization-Model
  Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)
  ☆31Updated 2 years ago
• mikigom / large-scale-OT-mapping-TF
  Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
  ☆19Updated 6 years ago
• samuela / oi-vae
  Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"
  ☆26Updated 5 years ago
• MarcTLaw / DeepSpectralClusteringToy
  PyTorch implementation of Deep Spectral Clustering paper on a toy dataset
  ☆23Updated 6 years ago
• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆41Updated last year