neon - Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

•    Python

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neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease-of-use and extensibility. For fast iteration and model exploration, neon has the fastest performance among deep learning libraries (2x speed of cuDNNv4, see benchmarks).

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gosl - Go scientific library for machine learning, linear algebra, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, graph, plotting, visualisation, tensors, eigenvalues, differential equations, more

•    Go

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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.

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armadillo-code - Armadillo: fast C++ library for linear algebra & scientific computing - http://arma

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Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

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Arch-Data-Science - Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

•    Shell

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Welcome to my repo to build Data Science, Machine Learning, Computer Vision, Natural language Processing and Deep Learning packages from source. My Data Science environment is running from a LXC container so Tensorflow build system, bazel, must be build with its auto-sandboxing disabled.

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fortran-libs - Helpful Fortran libraries for modern Fortran use

•    Fortran

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These Fortran libraries are copied and only the Makefiles (not the code) lightly modified to build easily with Gfortran on a wide variety of systems including Linux, MacOS and Windows. Please respect the various licenses of these libraries. The MIT license applies only to our convenience build scripts. Look under cmake/Modules/Find_____.cmake to conveniently link these libraries to your project.

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