Alternatives and similar repositories for VCCA_pytorch

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

• edchengg / VCCA-StudyNotes
  Canonical Correlation Analysis, Variational CCA
  ☆24Updated 6 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• herandy / DEPICT
  ☆58Updated 7 years ago
• sharonFogel / CPAC
  Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"
  ☆27Updated 7 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆102Updated 5 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆83Updated 6 years ago
• eelxpeng / ltvae-release
  ☆22Updated 5 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 6 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 5 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
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• MarcTLaw / DeepSpectralClusteringToy
  PyTorch implementation of Deep Spectral Clustering paper on a toy dataset
  ☆25Updated 6 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 5 years ago
• Raymond-sci / PICA
  Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
  ☆58Updated 4 years ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆57Updated 6 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆59Updated 3 years ago
• martinmamql / relative_predictive_coding
  Project page for paper Self-supervised Representation Learning with Relative Predictive Coding
  ☆17Updated 3 years ago
• xdxuyang / Deep-Spectral-Clustering-using-Dual-Autoencoder-Network
  ☆56Updated 5 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆68Updated 5 years ago
• dcmoyer / inv-rep
  Code for Invariant Rep. Without Adversaries (NIPS 2018)
  ☆35Updated 5 years ago
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 4 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 7 years ago
• alexlyzhov / latent-subspaces
  Implementation of "Learning latent subspaces in variational autoencoders"
  ☆20Updated 5 years ago
• blueocean92 / deep_constrained_clustering
  ☆40Updated 2 years ago
• chaoshangcs / VIGAN
  PyTorch implementation of VIGAN
  ☆40Updated 7 years ago
• mzgubic / MINE
  Mutual Information Neural Estimator implemented in Tensorflow
  ☆46Updated 6 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
• IirisSundin / active-learning-for-decision-making
  This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…
  ☆11Updated 6 years ago