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Theano

Stacks32

Followers65

+ 1

Votes0

Torch

Stacks251

Followers61

+ 1

Votes0

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Theano vs Torch: What are the differences?

What is Theano? Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C impleme.

What is Torch? An open-source machine learning library and a script language based on the Lua programming language. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

Theano and Torch belong to "Machine Learning Tools" category of the tech stack.

Theano is an open source tool with 8.9K GitHub stars and 2.5K GitHub forks. Here's a link to Theano's open source repository on GitHub.

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What is Theano?

Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).

What is Torch?

It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

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Jobs that mention Theano and Torch as a desired skillset

Machine Learning Engineer I

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Manager I, Site Reliability Engineering

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Machine Learning Engineer II

Warsaw, POL

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Staff Software Engineer, Ads Serving Platform

San Francisco, CA, US; , US

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Staff Machine Learning Engineer, Applied Science (Recommendation Systems)

San Francisco, CA, US; , US

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Staff Machine Learning Engineer, Applied Science (Recommendation Systems)

San Francisco, CA, US; , US

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Staff Software Engineer, ML Training

San Francisco, CA, US; , CA, US

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Senior Staff Machine Learning Engineer, Applied Science

San Francisco, CA, US; , CA, US

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What are some alternatives to Theano and Torch?

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

MXNet

A deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, it contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Caffe

It is a deep learning framework made with expression, speed, and modularity in mind.

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

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Theano vs Torch

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What is Theano?

What is Torch?

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What companies use Theano?

What companies use Torch?

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What tools integrate with Theano?

What tools integrate with Torch?

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