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Torch

Torch is a machine learning library and scientific computing framework for LuaJIT

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Overview

Torch is a scientific computing framework with support for machine learning algorithms. It provides N-dimensional arrays, with support for routines for indexing, slicing, transposing, etc.

Torch puts GPU first. It has an interface to C via LuaJIT, linear algebra & numeric optimization routines, neural network and energy-based models. It is embeddable, with ports to iOS and Android backends.

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Platform

   

Social

 

System Requirements

#Recommended
1NVIDIA® CUDA® 7.5 or newer (For Pascal GPUs, CUDA 8.0 or newer)
2cuDNN v5.0 or newer
3Ubuntu 14.x or newer (or any 64-bit Linux if you choose to build from source)

Ratings

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Developer

Ronan Collobert(OD), Koray Kavukcuoglu(OD), Clement Farabet(OD), Soumith Chintala, Community

Written in

Lua, C, LuaJIT, CUDA, C++

Initial Release

October 2002

Repository

https://github.com/torch/torch7

License

BSD-3

Categories

Machine Learning, Deep Learning, Framework

Alternatives

Machine Learning
Apache Mahout   Apache SystemML   Eclipse Deeplearning4j   MALLET   Massive Online Analysis (MOA)   OpenCV   scikit-learn   TensorFlow   The Microsoft Cognitive Toolkit   Yooreeka   Orange   Apache MXNet (Incubating)   Apache Spark   mlpack   Weka   PyTorch  
Deep Learning
Apache SystemML   Eclipse Deeplearning4j   TensorFlow   The Microsoft Cognitive Toolkit   Apache MXNet (Incubating)   Caffe   OpenNN   Weka   PyTorch  

Notes

  • Torch is not in active development. Check out actively maintained ATen (which is part of PyTorch).

This page was last updated with commit: Now custom 'Remarks' are allowed instead of just 'Portable' in 'Get it'; all software's source files have been updated accordingly (0cb3959)