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computational

A collection of 5 projects

EEGLAB: A revolutionary interactive Matlab toolbox dedicated to the computational and visual analysis of Electroencephalography (EEG) data.

A brief introduction to the project: In the era of burgeoning technology and substantial digitization of healthcare, the SCCN EEGLAB project, hosted on GitHub, opens the door for innovative computational and visual analysis of Electroencephalograpy (EEG) data. This project, which has its roots within the Swartz Center for Computational Neuroscience

NLP Chinese Corpus: A Comprehensive Resource for Chinese Text Processing

In the sphere of Natural Language Processing (NLP), having access to high-quality language resources is essential. This is where the 'NLP Chinese Corpus' comes into play. This groundbreaking GitHub repository aims to provide a comprehensive resource for Chinese Text Processing. Cast by brightmart, this GitHub project serves as

DifferentialEquations.jl: Solving Ordinary Differential Equations Made Easy

A brief introduction to the project: DifferentialEquations.jl is an open-source GitHub project that provides a comprehensive suite of algorithms for solving ordinary differential equations (ODEs) in the Julia programming language. The project aims to make differential equation solving accessible, efficient, and reliable for both beginners and experienced users. By

JOSS: A Collaborative Open-Source Journal for Computational Science

A brief introduction to the project: JOSS, also known as the Journal of Open Source Software, is a collaborative open-source journal that publishes peer-reviewed articles on computational science. The project aims to provide a platform for researchers and developers to share their software tools, libraries, and frameworks with the wider

JuliaLang/julia: A High-Performance Programming Language for Technical Computing

A brief introduction to the project: Julia is a high-performance programming language for technical computing. This open-source project, hosted on GitHub, aims to provide a fast, flexible, and easy-to-use language for scientific and quantitative computing. Julia combines the best aspects of traditional programming languages with the speed and efficiency of