MESSAGE
| DATE | 2015-11-04 |
| FROM | Ruben
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| SUBJECT | Subject: [Hangout-NYLXS] AI work in NYC and the torch Project
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http://torch.ch/
What is Torch?
Torch is a scientific computing framework with wide support for machine
learning algorithms. 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
Why Torch?
The goal of Torch is to have maximum flexibility and speed in building
your scientific algorithms while making the process extremely simple.
Torch comes with a *large ecosystem of community-driven packages
* in machine learning,
computer vision, signal processing, parallel processing, image, video,
audio and networking among others, and builds on top of the Lua community.
At the heart of Torch are the popular neural network and optimization
libraries which are simple to use, while having maximum flexibility in
implementing complex neural network topologies. You can build arbitrary
graphs of neural networks, and parallelize them over CPUs and GPUs in an
efficient manner.
Using Torch
Start with our Getting Started
guide to download and try
Torch yourself. Torch is open-source, so you can also start with the
code on the GitHub repo .
Torch is constantly evolving: it is already used within Facebook,
Google, Twitter, NYU, IDIAP, Purdue and several other companies and
research labs.
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