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)
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more (by apache)
| Theano | mxnet | |
|---|---|---|
| - | 5 | |
| 9,933 | 20,644 | |
| 0.2% | - | |
| 5.0 | 4.1 | |
| over 1 year ago | over 1 year ago | |
| Python | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
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.
mxnet
Posts with mentions or reviews of mxnet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-08-21.
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Las 10 Mejores Herramientas de Inteligencia Artificial de Código Abierto
Apache MXNet: Rendimiento y Escalabilidad [(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lkqk1iwnjb5a0spyygx3.png)](https://github.com/apache/mxnet)
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List of AI-Models
Click to Learn more...
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Introduction to deep learning hardware in the cloud
Build – Choose a machine learning framework (such as TensorFlow, PyTorch, Apache MXNet, etc.)
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just released my Clojure AI book
Clojure and Python also have bindings to the Apache MXNet library. Is there a reason why you didn't use them in some of your projects?
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Can Apple's M1 help you train models faster and cheaper than Nvidia's V100?
> But you still lose something, e.g. if you use half precision on V100 you get virtually double speed, if you do on a 1080 / 2080 you get... nothing because it's not supported.
That's not true. FP16 is supported and can be fast on 2080, although some frameworks fail to see the speed-up. I filed a bug report about this a year ago: https://github.com/apache/incubator-mxnet/issues/17665
What consumer GPUs lack is ECC and fast FP64.
What are some alternatives?
When comparing Theano and mxnet 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
Caffe2
neptune-client - 📘 The experiment tracker for foundation model training
Porcupine - On-device wake word detection powered by deep learning