Alternatives and similar repositories for DeepCCA

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

• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆47Updated 9 years ago
• msamribeiro / deep-cca
  Deep Canonical Correlation Analysis (DCCA) implementation using Theano
  ☆25Updated 8 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆51Updated 8 years ago
• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆118Updated 9 years ago
• Michaelvll / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
  ☆316Updated 2 years ago
• erictzeng / adda
  ☆223Updated 6 years ago
• natashamjaques / MultimodalAutoencoder
  Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…
  ☆70Updated 6 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 8 years ago
• herandy / DEPICT
  ☆58Updated 7 years ago
• jwyang / JULE.torch
  Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"
  ☆295Updated 6 years ago
• kingfengji / DeepMIML
  A Keras implementation of the DeepMIML Network for multi-instance multi-label learning
  ☆128Updated 8 years ago
• ddtm / caffe
  Caffe: a fast open framework for deep learning.
  ☆136Updated 10 years ago
• o-tawab / Variational-Autoencoder-pytorch
  Implementation of a convolutional Variational-Autoencoder model in pytorch.
  ☆74Updated 6 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆81Updated 3 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆149Updated 10 years ago
• garydoranjr / misvm
  Multiple-Instance Support Vector Machines
  ☆244Updated 5 years ago
• abyoussef / DRBM_Project
  Learning joint representation with a Multimodal Deep Boltzmann Machine
  ☆39Updated 8 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 7 years ago
• ehosseiniasl / deep-cca
  Deep CCA (DCCA) network
  ☆15Updated 9 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• chaoshangcs / VIGAN
  PyTorch implementation of VIGAN
  ☆40Updated 7 years ago
• sk1712 / gcn_metric_learning
  Metric Learning with Graph Convolutional Neural Networks
  ☆207Updated 6 years ago
• GRAAL-Research / domain_adversarial_neural_network
  Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
  ☆142Updated 7 years ago
• KlugerLab / SpectralNet
  Deep network that performs spectral clustering
  ☆327Updated 2 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• VisionLearningGroup / CORAL
  Correlation Alignment for Domain Adaptation
  ☆212Updated 8 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆119Updated 8 years ago
• ElieAljalbout / Clustering-with-Deep-learning
  Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
  ☆294Updated 7 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago