Alternatives and similar repositories for deep-cca:

Users that are interested in deep-cca are comparing it to the libraries listed below

• ehosseiniasl / deep-cca
  Deep CCA (DCCA) network
  ☆15Updated 9 years ago
• shamidreza / deepcca
  a python code for deep canonical correlation analysis (dcca) written using numpy
  ☆37Updated 4 years ago
• fducau / infoVAE
  ☆16Updated 7 years ago
• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 8 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• anibali / infogan
  An unofficial Torch implementation of InfoGAN
  ☆19Updated 7 years ago
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 7 years ago
• VahidooX / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
  ☆248Updated 7 years ago
• apsarath / CorrNet
  ☆51Updated 9 years ago
• patrickgadd / decorrelated-adversarial-autoencoder
  Tensorflow implementation of Adversarial Autoencoders (with extra option to decorrelate style and classes)
  ☆31Updated 8 years ago
• snowkylin / rnn-vae
  Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
  ☆39Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• ifp-uiuc / an-analysis-of-unsupervised-pre-training-iclr-2015
  Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…
  ☆18Updated 9 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆98Updated 8 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 9 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• clementfarabet / lua---mattorch
  An interface between Torch and Matlab
  ☆30Updated 9 years ago
• lvdmaaten / metriclearning
  Torch package for metric learning.
  ☆43Updated 8 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆43Updated 7 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 6 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆101Updated 9 years ago
• Unbabel / sparsemax
  ☆9Updated 8 years ago
• christiancosgrove / good-semi-bad-gan
  TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"
  ☆12Updated 7 years ago
• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 years ago
• tengerye / orthogonal-denoising-autoencoder
  Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'
  ☆16Updated 9 months ago
• jramapuram / CVAE
  Convolutional Variational Autoencoder
  ☆34Updated 5 years ago
• eugenium / MMD
  MMD and Relative MMD test
  ☆31Updated 9 years ago