Need advice about which tool to choose?Ask the StackShare community!

Swift AI

13
45
+ 1
0
Theano

29
58
+ 1
0
Add tool

Swift AI vs Theano: What are the differences?

Developers describe Swift AI as "A.I. and machine learning library written in Swift". Swift AI is a high-performance AI and machine learning library written entirely in Swift. We currently support iOS and OS X, with support for more platforms coming soon!. On the other hand, Theano is detailed as "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.

Swift AI and Theano can be categorized as "Machine Learning" tools.

Swift AI and Theano are both open source tools. It seems that Theano with 8.83K GitHub stars and 2.49K forks on GitHub has more adoption than Swift AI with 5.58K GitHub stars and 542 GitHub forks.

Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
- No public GitHub repository available -

What is Swift AI?

Swift AI is a high-performance AI and machine learning library written entirely in Swift. We currently support iOS and OS X, with support for more platforms coming soon!

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).

Need advice about which tool to choose?Ask the StackShare community!

What companies use Swift AI?
What companies use Theano?
    No companies found
    See which teams inside your own company are using Swift AI or Theano.
    Sign up for Private StackShareLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Swift AI?
    What tools integrate with Theano?
    What are some alternatives to Swift AI and Theano?
    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.
    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.
    Keras
    Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
    scikit-learn
    scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
    CUDA
    A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
    See all alternatives