VahidooX / DeepLDA

Related projects ⓘ

Alternatives and complementary repositories for DeepLDA

• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 8 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆49Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 5 years ago
• msamribeiro / deep-cca
  Deep Canonical Correlation Analysis (DCCA) implementation using Theano
  ☆24Updated 7 years ago
• aniketde / DomainGeneralizationMarginal
  ☆13Updated 7 years ago
• fducau / infoVAE
  ☆16Updated 7 years ago
• laiguokun / SWaveNet
  ☆24Updated 4 years ago
• IBM / RandomWarpingSeries
  RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…
  ☆20Updated 5 years ago
• Jianbo-Lab / CCM
  ☆74Updated 5 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆49Updated 7 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 7 years ago
• jramapuram / CVAE
  Convolutional Variational Autoencoder
  ☆34Updated 5 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 7 years ago
• tengerye / orthogonal-denoising-autoencoder
  Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'
  ☆16Updated 4 months ago
• natashamjaques / MultimodalAutoencoder
  Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…
  ☆72Updated 5 years ago
• eyounx / GANMM
  Mixture of Generative Adversarial Networks for Clustering
  ☆16Updated 6 years ago
• rahulk90 / vae_sparse
  VAEs on Sparse Data
  ☆12Updated 7 years ago
• ehosseiniasl / deep-cca
  Deep CCA (DCCA) network
  ☆15Updated 8 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 6 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• gtoubassi / mnist-vae
  Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …
  ☆31Updated 6 years ago
• enalisnick / mixture_density_VAEs
  Variational Autoencoders with Gaussian Mixture Latent Space
  ☆36Updated 7 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 6 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆78Updated 2 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 5 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
• FJR-Nancy / joint-cluster-cnn
  A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).
  ☆25Updated 6 years ago
• ksalsw1996 / pytorch_DAE
  pytorch implementation of stacked denoising autoencoder
  ☆20Updated 7 years ago
• Philip-Bachman / Pseudo-Ensembles
  Materials for implementing and reproducing results in the NIPS paper.
  ☆23Updated 10 years ago