Extism
OpenCV
TensorFlow
CImg
OpenGL
PyTorch
MATLAB
Application and Data, Languages & Frameworks, and Language Extensions

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.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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OCL
OpenCL
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| Website | en.wikipedia.org | andersbll.github.io |
| Listed in |
What each product offers, as listed by its team.

No features have been listed yet.
Possible disadvantages
Walkthroughs and reviews on video.
Episode 1: What is OpenCL™?
More videos
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How often each product is chosen within a category, 0–100% relative to the other.

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

Extism is the open source, universal plug-in system. Extend all the software everywhere! Powered by WebAssembly.
Compare Extism to OpenCL or DeepPy:

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Compare Keras to OpenCL or DeepPy:



TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Compare TensorFlow to OpenCL or DeepPy:

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
Compare TFlearn to OpenCL or DeepPy: