usc-sail / mica-deep-mccaLinks
Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets
☆33Updated 5 years ago
Alternatives and similar repositories for mica-deep-mcca
Users that are interested in mica-deep-mcca are comparing it to the libraries listed below
Sorting:
- Feature fusion using Canonical Correlation Analysis (CCA)☆50Updated 5 years ago
- An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.☆51Updated 5 years ago
- Concise Agile Flexible EEG data analyis toolbox☆41Updated 7 years ago
- M/EEG brain age benchmark paper☆29Updated 2 years ago
- Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning☆48Updated last year
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 6 years ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆30Updated 4 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆27Updated 3 years ago
- Canonical Correlation Analysis, Variational CCA☆25Updated 7 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆35Updated 2 years ago
- PyTorch implementation of TSception☆78Updated 2 years ago
- Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021☆29Updated 3 years ago
- Multiclass support matrix machine for single trial EEG classification☆11Updated 7 years ago
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆58Updated 2 years ago
- [CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters☆28Updated 2 years ago
- EEG time-series data analysis including ERPs, time-frequency analysis, statistics and classification☆17Updated 6 years ago
- Targeting EEG/LFP synchrony with neural nets☆16Updated 6 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆55Updated 4 years ago
- Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox☆24Updated 7 years ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆48Updated last year
- Library for processing and analyizing M/EEG data as recorded with naturalistic stimuli.☆15Updated last week
- Implementation of Deep SPDNet in pytorch☆65Updated last year
- This is the code for the paper Statistical Recurrent Models on Manifold valued Data☆17Updated 4 years ago
- ☆11Updated 6 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.☆314Updated 2 years ago
- ☆32Updated last month
- An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation☆18Updated 2 years ago
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆21Updated 3 years ago