Theano VS Caffe2

Compare Theano vs Caffe2 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)

Caffe2

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Theano Caffe2
- -
9,913 8,443
0.0% -
5.0 0.0
about 1 year ago over 6 years ago
Python Jupyter Notebook
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.

Caffe2

Posts with mentions or reviews of Caffe2. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Caffe2 yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Theano and Caffe2 you can also consider the following projects:

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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

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

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

neptune-client - 📘 The experiment tracker for foundation model training

CoreML-Models - Largest list of models for Core ML (for iOS 11+)

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Did you know that Python is
the 2nd most popular programming language
based on number of references?