Alternatives and similar repositories for GCCA:

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

• edchengg / VCCA-StudyNotes
  Canonical Correlation Analysis, Variational CCA
  ☆24Updated 6 years ago
• ncullen93 / deepSCCAN
  Deep & Sparse CCA for Neuroimaging in Tensorflow
  ☆24Updated 7 years ago
• lorenzoriano / PyKCCA
  Python implementation of Kernel Canonical Correlation Analysis
  ☆49Updated 6 years ago
• drasros / neuralICA
  Independent Component Analysis (or other spacial recomposition) embedded in neural layers
  ☆13Updated 7 years ago
• arminarj / DeepGCCA-pytorch
  An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.
  ☆48Updated 4 years ago
• usc-sail / mica-deep-mcca
  Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets
  ☆33Updated 5 years ago
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 6 years ago
• yitong91 / SyncNet
  Targeting EEG/LFP synchrony with neural nets
  ☆16Updated 6 years ago
• sylvchev / mdla
  Multivariate Dictionary Learning Algorithm
  ☆23Updated last year
• DTaoo / DCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA) in Keras with tf backend.
  ☆18Updated 6 years ago
• VahidooX / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
  ☆246Updated 7 years ago
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆41Updated 2 years ago
• ogrisel / eegssl
  Experiments on Self-Supervised Learning on EEG data
  ☆18Updated 4 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 6 years ago
• BorgwardtLab / WTK
  A Wasserstein Subsequence Kernel for Time Series.
  ☆21Updated 9 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…
  ☆71Updated 6 years ago
• msamribeiro / deep-cca
  Deep Canonical Correlation Analysis (DCCA) implementation using Theano
  ☆24Updated 8 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆41Updated 6 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 5 years ago
• gjtrowbridge / simple-mkl-python
  Implementation of the SimpleMKL algorithm (multiple kernel SVM)
  ☆20Updated 10 years ago
• gallantlab / pyrcca
  Regularized kernel canonical correlation analysis in Python
  ☆250Updated 3 years ago
• jmikko / EasyMKL
  EasyMKL
  ☆15Updated 6 years ago
• edchengg / VCCA_pytorch
  VCCA Pytorch Implementation on MNIST dataset
  ☆16Updated 6 years ago
• houlu369 / FLAG_shapelets
  Implementation of AAAI 2016 paper Efficient Learning of Timeseries Shapelets
  ☆14Updated 6 years ago
• ehosseiniasl / deep-cca
  Deep CCA (DCCA) network
  ☆15Updated 8 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆64Updated 6 years ago
• ericstrobl / deepMKL
  Deep Multiple Kernel Learning by Span Bound
  ☆10Updated 10 years ago
• quinngroup / deep-representations-clustering
  This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".
  ☆21Updated 8 years ago
• sunshiding / cca_zoo
  Canonical Correlation Analysis Zoo: CCA, GCCA, MCCA, DCCA, DGCCA, DVCCA, DCCAE, KCCA and regularised variants
  ☆25Updated 4 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆90Updated 6 years ago