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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




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 ulkas      15.09.2016 - 14:06:07 [1K] , level: 1, UP   NEW  HARDLINK
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