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 7 years ago
• edchengg / VCCA_pytorch
  VCCA Pytorch Implementation on MNIST dataset
  ☆16Updated 7 years ago
• jameschapman19 / cca_zoo
  Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…
  ☆211Updated last year
• ogrisel / eegssl
  Experiments on Self-Supervised Learning on EEG data
  ☆19Updated 5 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
• Michaelvll / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
  ☆314Updated 2 years ago
• YirongMao / SPDNet
  This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017
  ☆38Updated 6 years ago
• ChangdeDu / DGMM
  Deep Generative Multi-view Model (DGMM)
  ☆35Updated 6 years ago
• nerdslab / PyHiWA
  Alignment between clustered datasets via hierarchical Wasserstein distance
  ☆38Updated last year
• arminarj / DeepGCCA-pytorch
  An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.
  ☆51Updated 5 years ago
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆130Updated 2 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 6 years ago
• VahidooX / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
  ☆249Updated 7 years ago
• zhiwu-huang / SPDNet
  GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.
  ☆55Updated 4 years ago
• Mind-the-Pineapple / adversarial-autoencoder
  Tensorflow 2.0 implementation of Adversarial Autoencoders
  ☆20Updated 6 years ago
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆79Updated 7 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆70Updated 6 years ago
• zhigao2017 / Learning-to-optimize-on-SPD-manifolds
  code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
  ☆13Updated 4 years ago
• csliangdu / FSASL
  An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…
  ☆43Updated 7 years ago
• ncullen93 / deepSCCAN
  Deep & Sparse CCA for Neuroimaging in Tensorflow
  ☆24Updated 8 years ago
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆42Updated 2 years ago
• maschulz / deeperbrain
  ☆17Updated 4 years ago
• yitong91 / SyncNet
  Targeting EEG/LFP synchrony with neural nets
  ☆16Updated 6 years ago
• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆15Updated 8 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• penghu-cs / MvLDAN
  Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)
  ☆17Updated 5 years ago
• sepehrband / drawNemenyi
  Publication quality figure for Nemenyi post-hoc test for the Friedman's test
  ☆21Updated 8 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆84Updated 6 years ago
• MRegina / connectome_conv_net
  Connectome-convolutional neural netvork for connectivity-based classificatin
  ☆37Updated 5 years ago