Gosl is a Go library to develop Artificial Intelligence and High-Performance Scientific Computations. The library tries to be as general and easy as possible. Gosl considers the use of both Go concurrency routines and parallel computing using the message passing interface (MPI). Gosl has several modules (sub-packages) for a variety of tasks in scientific computing, image analysis, and data post-processing.
scientific-computing visualization linear-algebra differential-equations sparse-systems plotting mkl parallel-computations computational-geometry graph-theory tensor-algebra fast-fourier-transform eigenvalues eigenvectors hacktoberfest machine-learning artificial-intelligence optimization optimization-algorithms linear-programmingWelcome to the toolbox for tensor decompositions, statistical analysis, visualisation, feature extraction, regression and non-linear classification of multi-dimensional data. This will allow you to modify the source code in the way it will suit your needs. Additionally, you will be on top of the latest changes and will be able to start using new stable features which are located on develop branch until the official release. The list of provisional changes for the next release (and the CI status) can be also be found on develop branch in CHANGELOG file.
toolbox tensor-decomposition tensor-factorization tensor-algebra tensor-analysis dataThis repository contains a series of tutorials on how to use hottbox. All data for these tutorials can be found under data/ directory.
tensor-decomposition tensor-factorization tensor-algebra tensor-analysis tutorials
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