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Torch7 provides a Matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to an easy and fast scripting language (Lua) and a underlying C implementation.

Modified to be compiled and used with Android

For CUDA-enabled version: NVIDIA CodeWorks for Android: https://developer.nvidia.com/codeworks-android. For CPU-only version : Android NDK and Android SDK
https://github.com/soumith/torch-android




  • 00000101000635330810690208207635081910210821539808215395
    Synapse creator 15.09.2016 - 14:06:07 level: 1 UP [1K] New Hardlink
    Torch
    http://torch.ch/
    A SCIENTIFIC COMPUTING FRAMEWORK FOR LUAJIT

    Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

    A summary of core features:

    a powerful N-dimensional array
    lots of routines for indexing, slicing, transposing, ...
    amazing interface to C, via LuaJIT
    linear algebra routines
    neural network, and energy-based models
    numeric optimization routines
    Fast and efficient GPU support
    Embeddable, with ports to iOS, Android and FPGA backends
    more children: (1)