ncullen93 / deepSCCAN

Related projects ⓘ

Alternatives and complementary repositories for deepSCCAN

• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆49Updated 7 years ago
• zbxnzs1990 / Group-sparse-Canonical-Correlation-Analysis
  Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two differen…
  ☆12Updated 6 years ago
• sheryl-ai / MemGCN
  Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)
  ☆45Updated 5 years ago
• gjtrowbridge / simple-mkl-python
  Implementation of the SimpleMKL algorithm (multiple kernel SVM)
  ☆20Updated 9 years ago
• basiralab / HCAE
  HCAE (HyperConnectome AutoEncoder) for brain state identification.
  ☆16Updated 4 years ago
• DTaoo / DCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA) in Keras with tf backend.
  ☆18Updated 6 years ago
• MRegina / connectome_conv_net
  Connectome-convolutional neural netvork for connectivity-based classificatin
  ☆38Updated 4 years ago
• HaohanWang / CF
  Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
  ☆15Updated 4 years ago
• jmikko / EasyMKL
  EasyMKL
  ☆16Updated 6 years ago
• juntang-zhuang / explain_invertible
  repo for "Decision explanation and feature importance for invertible networks"
  ☆13Updated 4 years ago
• edchengg / VCCA-StudyNotes
  Canonical Correlation Analysis, Variational CCA
  ☆24Updated 6 years ago
• edchengg / VCCA_pytorch
  VCCA Pytorch Implementation on MNIST dataset
  ☆16Updated 6 years ago
• maxis1718 / SimpleMKL
  SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html
  ☆13Updated 10 years ago
• ChangdeDu / DGMM
  Deep Generative Multi-view Model (DGMM)
  ☆35Updated 5 years ago
• sarslancs / graph_saliency_maps
  Graph saliency maps through spectral convolutional networks for brain mapping
  ☆32Updated 6 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 7 years ago
• ogrisel / eegssl
  Experiments on Self-Supervised Learning on EEG data
  ☆18Updated 4 years ago
• shaoweinuaa / HM2TFS
  Hyper-graph based Multi-task Feature Selection for Multi-modal Classification of Alzheimer's Disease
  ☆10Updated 5 years ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆31Updated 6 years ago
• sheryl-ai / MVGCN
  Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
  ☆97Updated 4 years ago
• aalto-ics-kepaco / cca-tutorial
  Worked examples
  ☆16Updated 6 years ago
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆41Updated last year
• basiralab / HADA
  HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
  ☆9Updated 4 years ago
• Fritschek / MINE-Mutual-Information-Neural-Estimator
  MINE estimation implemented with Tensorflow 2
  ☆11Updated 5 years ago
• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• gallantlab / pyrcca
  Regularized kernel canonical correlation analysis in Python
  ☆242Updated 3 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆26Updated 3 years ago
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 6 years ago
• lorenzoriano / PyKCCA
  Python implementation of Kernel Canonical Correlation Analysis
  ☆46Updated 5 years ago
• shu-hai / D-CCA
  A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)
  ☆11Updated 2 years ago