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ABIDE Preprocessed Initiative
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.
Code to analyses structural covariance brain networks using python.
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 commands tailored to neuroimaging analysis.
An implementation of balancing classes during cross-validation when solving a classification problem
Nipype-based data fMRI pre-processing tools
Coursework
Domain adaptation of MRI scanners as an alternative to MRI harmonization
Dual Path Networks
Multi-Voxel Pattern Analysis (whole-brain searchlight) using Support Vector Machine Classification & Regression
Matlab codes for our paper on Human Brain Mapping. Nested linear SVM & logistic classification (inner cross validation for P threshold selection, outer cross validation for classifier evaluation).
Codes for preprocessing human fmri data collected in the cocoanlab. The data structure will be compatible with the Brain Imaging Data Structure (BIDS) and this mainly uses SPM12 as the main tool.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Codes and datasets for "Interpreting machine learning models in neuroimaging: a unified framework"
Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 different popular classifiers are presented. With slight modifications, it can also be used for any classification problem using any set of features.
Python toolbox for analyzing imaging data
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Matlab codes of pattern classification algorithms (e.g., SVC, logistic regression, MLDA) for analyzing brain imaging data.
PRML algorithms implemented in Python
Surface Preprocessing Pipeline for human fMRI (cocoanlab)
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
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.