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Official code for "Graph Learning and Augmentation Based Interpolation of Signal Strength for Location-aware Communications", EUSIPCO 2020.
MATLAB code for graph learning via MM
Matlab Based GSP and Machine Learning Algorithm
Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
This repository contains te code used in "A Data Augmentation Scheme for Geometric Deep Learning in Personalised BCIs"
Graph Learning from Data
Graph signal processing for change detection
GitHub for GraphVar 2.0: A user-friendly toolbox for machine learning on functional connectivity measures.
Code to compute and test structural decoupling index (Preti & Van De Ville 2019)
Graph Signal Processing in Matlab
Code for publication: Theta-gamma coupling emerges from spatially heterogeneous cholinergic neuromodulation
An Graph-based Integration of different Diffusion Metrics Into a Single Structural Brain Network
Code used for paper: Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Rué-Queralt et al. Communications Biology (2021)
Unscented Kalman filter estimation of the Jansen Neural Mass model
Implementation for Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach
Project
Leading Eigenvector Dynamics Analysis
Martin Lindquist's dynamic correlation toolboxes. Designed for fMRI analysis, useful for other applications too.
Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University
Robust Unsupervised Feature Selection via Multi-Group Adaptive Graph Representation
Code accompanying `Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks.'
Use periodicity of tracked head motions to infer heart rate. Master Thesis project
MATLAB script of Multichannel Nonnegative Matrix Factorization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.