* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use
* Provides high-level syntax and functionality deliberately similar to Matlab
* Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code
* Useful for algorithm development directly in C++, or quick conversion of research code into production environments
* Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software
* Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc

* Downloads: http://coot.sourceforge.io/download.html
* Documentation: http://coot.sourceforge.io/docs.html
* Bug reports: http://coot.sourceforge.io/faq.html
* Git repo: https://gitlab.com/conradsnicta/bandicoot-code

Features

  • Easy to use - has many MATLAB like functions
  • Useful for prototyping directly in C++
  • Useful for conversion of research code into production environments
  • Permissively licensed - can be used in proprietary software and products
  • Used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc
  • Supports CUDA
  • Supports OpenCL

Project Activity

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License

Apache License V2.0

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Additional Project Details

Operating Systems

BSD, Cygwin, GNU Hurd, Linux, Mac, Solaris, Windows

Intended Audience

Advanced End Users, Developers, Education, Engineering, Information Technology, Science/Research

Programming Language

C++

Related Categories

C++ Algorithms, C++ Mathematics Software, C++ Machine Learning Software

Registered

2023-06-28