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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 MXNet (Incubating)   Apache Spark   Apache SystemML   Eclipse Deeplearning4j   MALLET   Massive Online Analysis (MOA)   mlpack   OpenCV   Orange   scikit-learn   TensorFlow   The Microsoft Cognitive Toolkit   Weka   Yooreeka   PyTorch  
Deep Learning
Apache MXNet (Incubating)   Apache SystemML   Caffe   Eclipse Deeplearning4j   OpenNN   TensorFlow   The Microsoft Cognitive Toolkit   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: Fixed syntax in software source files (1e763e9)