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DeepPy VS deeplearn-rs

Compare DeepPy VS deeplearn-rs and see what are their differences

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DeepPy logo DeepPy

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.

deeplearn-rs logo deeplearn-rs

deeplearn-rs is a deep learning in rust that can be used to build trainable matrix compptation graphs that are configurable at runtime.
  • DeepPy Landing page
    Landing page //
    2019-06-12
  • deeplearn-rs Landing page
    Landing page //
    2023-10-21

Category Popularity

0-100% (relative to DeepPy and deeplearn-rs)

DeepPy

deeplearn-rs

OCR
100 100%
OCR
0% 0
Data Science And Machine Learning
74 74%
Data Science And Machine Learning
26% 26
Machine Learning
91 91%
Machine Learning
9% 9
Deep Learning
0 0%
Deep Learning
100% 100

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What are some alternatives?

When comparing DeepPy and deeplearn-rs, you can also consider the following products

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

TensorFlow - 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.

Clarifai - The World's AI

DeepDetect - DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.

TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Deeplearning4j - Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

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