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Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Automated Fiber Quantification
Browser-based visualization tools for AFQ results
Advanced Normalization Tools (ANTs)
Brain Imaging Analysis Kit
Train fully convonlutional neural networks for brain segmentation.
A suite of tools for medical image processing focused on brain analysis
CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.
The tools of the Human Connectome Project (HCP) adapted for working with non-HCP datasets
RESTful API
Ways of doing Data Science Engineering and Machine Learning in R and Python
Clustering by fast search and find of density peaks
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation
structural analysis of neonatal brain MRI scans
Estimation of white matter tract integrity metrics using Diffusion Kurtosis Imaging
Diffusion MR Imaging in Python
Developing brain Region Annotation With Expectation-Maximization
Method for encoding brain connectomes in multidimensional arrays (tensors).
An R package to rapidly implement machine learning algorithms on genomic data
A faster pytorch implementation of faster r-cnn
fMRIprep is a functional magnetic resonance image pre-processing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.
Software for ROI analysis in neuroimaging
The official FreeSurfer repository maintained by LCN
GNU R package for reading and writing FreeSurfer neuroimaging file formats.
Source code for FSL: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/
Neuropycon package of functions for electrophysiology analysis, can be used from ephypype and nipype
镜像:https://coding.net/u/scaffrey/p/hosts/git
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.