
Keras
Clarifai
TFlearn
Microsoft Cognitive Toolkit (Formerly CNTK)
Merlin
Knet
OpenCV
DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

Website, pricing, platforms and company facts side by side.
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| Website | andersbll.github.io | workloo.com |
| Listed in | — |
What each product offers, as listed by its team.


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Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using DeepPy and WorkLoo. For example, how are they different and which one is better?
When comparing DeepPy and WorkLoo, you can also consider the following products.

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
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Machine Learning
Compare Microsoft Cognitive Toolkit (Formerly CNTK) to DeepPy or WorkLoo:

Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.
Compare Merlin to DeepPy or WorkLoo:

Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
Compare Knet to DeepPy or WorkLoo: