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Torch
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Torch

Overview
Synopsis

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

Category

Artificial Neural Network Software

Features

•Powerful N-dimensional array
•Neural Network & Energy-based Models
•Fast and efficient GPU support
•Linear Algebra Routines

License

Proprietary Software

Price

Torch is an Open Source program

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Website
Company

Torch

What is best?

•Powerful N-dimensional array
•Neural Network & Energy-based Models
•Fast and efficient GPU support
•Linear Algebra Routines

PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
8.8
8.8
Features & Functionality
8.8
8.5
Advanced Features
8.9
9.2
Integration
9.0
8.9
Performance
9.0
8.9
Customer Support
7.6
Implementation
4.8
Renew & Recommend
Bottom Line

Torch is a popular neural network and optimization libraries which offers simple to use function for its users while having maximum flexibility in implementing complex neural network topologies. Users can build arbitrary graphs of neural networks and parallelize them over CPUs and GPUs in an efficient manner.

8.9
Editor Rating
7.7
Aggregated User Rating
3 ratings
You have rated this

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It offers an easy to use and efficient program to its users, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

Users of Torch will be able to take advantage of its core features such as 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 and embeddable, with ports to iOS, Android and FPGA back ends.

The goal of Torch is to have maximum flexibility and speed in building users scientific algorithms while making the process extremely simple for the benefit of the company. 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.

Torch is a popular neural network and optimization libraries which offers simple to use function for its users while having maximum flexibility in implementing complex neural network topologies. Users can build arbitrary graphs of neural networks and parallelize them over CPUs and GPUs in an efficient manner.

Torch is open-source program, this means that users can also start with the code on the GitHub repo. Use its online guide to be able to download it and try the program while there are also helpful video tutorials to help users start using it.

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Customer Support
Implementation
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