neurodatadesign Goto Github PK
Name: NeuroData Design
Type: Organization
Name: NeuroData Design
Type: Organization
Automagic
Automated rejection and repair of bad trials/sensors in M/EEG
Avatr
A tutorial on bash scripting
This repository is a container of methods that Neurodata uses to expose their open-source code while it is in the process of being merged with larger scientific libraries such as scipy, scikit-image, or scikit-learn. Additionally, methods for computational neuroscience on brains too specific for a general scientific library can be found here, such as image registration software tuned specifically for large brain volumes.
Deep Convolutional Random Forests
Code for the IJCAI 2019 paper "Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks" by Seungwon Lee, James Stokes, Eric Eaton
Performance comparisons between random forests and deep networks
repo containing examples
a repository with some basics about github
Python package for graph statistics
Papers, Readings and Jupyter Figure Code for NDD 2021
Python and Jupyter Notebook Tutorial
Multi-Modal Neuroimaging Visualizations made easy!
Longitudinal In-vivo Detection of Synapses
Code for M2G analysis models, data and batch processing
website of m2g connectomic dataset
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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.