Sparse Learning via Efficient Projection (mirror copy of latest version in http://www.yelab.net/software/SLEP/)

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification

[MICCAI'24] SW-HGL: Hierarchical Graph Learning with Small-World Brain Connectomes

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

Benchmarking GNNs for fMRI analysis

Official implementation of paper "An objective quantitative diagnosis of depression using a local-to-global multi-modal fusion graph neural network"

Train GIN (graph isomorphism network) for classifying the ECG signal by Extraction topological feature from the time series with three different methods.

Official Implementation of STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.

Build high-performance AI models with modular building blocks

Mamba SSM architecture

Preprocessing of diffusion MRI

Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)

A verstaile classifier of phenotypes and psychiatric disorders from fMRI timecourses.

Domain Adaptation with Randomized Expectation Maximization

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Codes for the project "development of functional topography"

brain connectivity toolbox for python

Configurable Pipeline for the Analysis of Connectomes

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level…

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Core tools for Cocoan Lab

HTSS: Hybrid Text Summarisation and Simplification Model

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning