Theano VS CNTK

Compare Theano vs CNTK and see what are their differences.

Theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor (by Theano)
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Theano CNTK
- 1
9,852 17,435
0.1% 0.0%
5.0 0.0
3 months ago about 1 year ago
Python C++
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Theano

Posts with mentions or reviews of Theano. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Theano yet.
Tracking mentions began in Dec 2020.

CNTK

Posts with mentions or reviews of CNTK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-20.

What are some alternatives?

When comparing Theano and CNTK you can also consider the following projects:

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

tensorflow - An Open Source Machine Learning Framework for Everyone

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Caffe - Caffe: a fast open framework for deep learning.

Keras - Deep Learning for humans

Caffe2

scikit-learn - scikit-learn: machine learning in Python

silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

tiny-cnn - header only, dependency-free deep learning framework in C++14