ncullen93 / deepSCCAN
Deep & Sparse CCA for Neuroimaging in Tensorflow
☆24Updated 7 years ago
Alternatives and similar repositories for deepSCCAN:
Users that are interested in deepSCCAN are comparing it to the libraries listed below
- Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two differen…☆12Updated 6 years ago
- Generalized Canonical Correlation Analysis☆49Updated 7 years ago
- Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)☆45Updated 5 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 10 years ago
- Canonical Correlation Analysis, Variational CCA☆24Updated 6 years ago
- EasyMKL☆16Updated 6 years ago
- HCAE (HyperConnectome AutoEncoder) for brain state identification.☆16Updated 4 years ago
- Deep Generative Multi-view Model (DGMM)☆35Updated 5 years ago
- Python implementation of Kernel Canonical Correlation Analysis☆49Updated 6 years ago
- Graph saliency maps through spectral convolutional networks for brain mapping☆32Updated 6 years ago
- Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification☆16Updated 4 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA) in Keras with tf backend.☆18Updated 6 years ago
- Connectome-convolutional neural netvork for connectivity-based classificatin☆37Updated 5 years ago
- Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)☆100Updated 4 years ago
- Deep CCA (DCCA) network☆15Updated 8 years ago
- Experiments on Self-Supervised Learning on EEG data☆18Updated 4 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 7 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 6 years ago
- SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html☆13Updated 10 years ago
- Worked examples☆15Updated 6 years ago
- Deep Canonical Correlation Analysis (DCCA) implementation using Theano☆24Updated 8 years ago
- VCCA Pytorch Implementation on MNIST dataset☆16Updated 6 years ago
- Targeting EEG/LFP synchrony with neural nets☆16Updated 5 years ago
- repo for "Decision explanation and feature importance for invertible networks"☆13Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆13Updated 7 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆11Updated 6 years ago
- An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.☆48Updated 4 years ago
- Multi-task regression in Python☆26Updated 3 years ago
- Reference implementation of the HEAT algorithm described in https://link.springer.com/chapter/10.1007/978-3-030-62362-3_4☆11Updated last year
- Theano-based implementation of Deep Semi-NMF.☆112Updated 9 years ago