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Torch

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

Not available, but hey, you could help!

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

You may try

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

Deep Learning
Apache MXNet (Incubating)  Apache SystemML  Caffe  Eclipse Deeplearning4j  OpenNN  PyTorch  TensorFlow  The Microsoft Cognitive Toolkit  Torch  Weka  

Notes

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