Alternatives and similar repositories for VCCA-StudyNotes

Users that are interested in VCCA-StudyNotes are comparing it to the libraries listed below

• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆51Updated 8 years ago
• edchengg / VCCA_pytorch
  VCCA Pytorch Implementation on MNIST dataset
  ☆16Updated 7 years ago
• ogrisel / eegssl
  Experiments on Self-Supervised Learning on EEG data
  ☆19Updated 5 years ago
• jameschapman19 / cca_zoo
  Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…
  ☆219Updated last year
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆72Updated 6 years ago
• ChangdeDu / DGMM
  Deep Generative Multi-view Model (DGMM)
  ☆35Updated 6 years ago
• drasros / neuralICA
  Independent Component Analysis (or other spacial recomposition) embedded in neural layers
  ☆12Updated 7 years ago
• YirongMao / SPDNet
  This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017
  ☆37Updated 7 years ago
• Michaelvll / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
  ☆326Updated 2 years ago
• VahidooX / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
  ☆249Updated 8 years ago
• arminarj / DeepGCCA-pytorch
  An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.
  ☆52Updated 5 years ago
• yitong91 / SyncNet
  Targeting EEG/LFP synchrony with neural nets
  ☆17Updated 6 years ago
• ncullen93 / deepSCCAN
  Deep & Sparse CCA for Neuroimaging in Tensorflow
  ☆24Updated 8 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated 2 years ago
• zhiwu-huang / SPDNet
  GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.
  ☆61Updated 4 years ago
• gallantlab / pyrcca
  Regularized kernel canonical correlation analysis in Python
  ☆257Updated 4 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…
  ☆71Updated 7 years ago
• rciszek / mdr_tcca
  Multi-view dimensionality reduction using tensor canonical correlation analysis
  ☆10Updated 7 years ago
• nerdslab / SwapVAE
  PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity
  ☆13Updated 4 years ago
• usc-sail / mica-deep-mcca
  Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets
  ☆33Updated 5 years ago
• yalechang / symnmf
  ☆22Updated 11 years ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆29Updated 2 years ago
• ChongYou / subspace-clustering
  Toolbox for large scale subspace clustering
  ☆181Updated 3 years ago
• amber0309 / Multidomain-Discriminant-Analysis
  Code for UAI 2019 paper "Domain Generalization via Multidomain Discriminant Analysis"
  ☆14Updated 6 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆93Updated 6 years ago
• penghu-cs / MvLDAN
  Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)
  ☆18Updated 6 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆105Updated 6 years ago
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆82Updated 7 years ago
• GiulsLu / OT-gradients
  ☆12Updated 7 years ago
• GuHY777 / VaDE-pytorch
  the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch
  ☆140Updated 2 years ago