Alternatives and similar repositories for deep-cca:

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

• shamidreza / deepcca
  a python code for deep canonical correlation analysis (dcca) written using numpy
  ☆37Updated 4 years ago
• msamribeiro / deep-cca
  Deep Canonical Correlation Analysis (DCCA) implementation using Theano
  ☆24Updated 8 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆40Updated 8 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• janericlenssen / noise-as-targets-tensorflow
  Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…
  ☆23Updated 7 years ago
• gokceneraslan / SparseMax.torch
  Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"
  ☆53Updated 8 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• JeremyCCHsu / Gumbel-Softmax-VAE-in-tensorflow
  Semi-Supervised Learning with Categorical VAE (experimented on MNIST)
  ☆29Updated 7 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• corenel / pytorch-arda
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆50Updated 7 years ago
• Unbabel / sparsemax
  ☆9Updated 8 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• ushaham / RBMpaper
  experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"
  ☆20Updated 8 years ago
• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 8 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆56Updated 8 years ago
• Shuangfei / vgan
  ☆18Updated 8 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 6 years ago
• Philip-Bachman / Pseudo-Ensembles
  Materials for implementing and reproducing results in the NIPS paper.
  ☆23Updated 10 years ago
• zeakey / LDLForests
  Label Distribution Learning Forest
  ☆30Updated 7 years ago
• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 7 years ago
• davidtellez / adda_mnist64
  Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
  ☆32Updated 8 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆43Updated 7 years ago
• liangy1969 / CRF-RNN_Tensorflow
  Tensorflow implementation of CRF-RNN
  ☆13Updated 7 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 8 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• trangptm / HighwayNetwork
  For training very deep networks
  ☆10Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago