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deeplearn-rs VS DeepPy

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

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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 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 Landing page
    Landing page //
    2023-10-21
  • DeepPy Landing page
    Landing page //
    2019-06-12

Category Popularity

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

deeplearn-rs

DeepPy

Data Science And Machine Learning
22 22%
Data Science And Machine Learning
78% 78
OCR
0 0%
OCR
100% 100
Deep Learning
100 100%
Deep Learning
0% 0
Data Dashboard
100 100%
Data Dashboard
0% 0

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What are some alternatives?

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

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.

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

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.

Clarifai - The World's AI

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