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Torch

A machine learning library and scientific computing framework for LuaJIT

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Overview    Platform    Social    System Requirements    Ratings    Developer    Written in    Initial Release    Repository    License    Categories    Alternatives   

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

Notes

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

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