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RustNN VS DeepPy

Compare RustNN VS DeepPy and see what are their differences

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RustNN logo RustNN

RustNN is a feedforward neural network library that generates fully connected multi-layer artificial neural networks that are trained via backpropagation.

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.
  • RustNN Landing page
    Landing page //
    2023-10-10
  • DeepPy Landing page
    Landing page //
    2019-06-12

RustNN

Categories
  • OCR
  • Machine Learning
  • Image Analysis
  • Development Tools
Website github.com
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DeepPy

Categories
  • OCR
  • Machine Learning
  • Image Analysis
  • Data Science And Machine Learning
Website andersbll.github.io
Edit details

Category Popularity

0-100% (relative to RustNN and DeepPy)

RustNN

DeepPy

OCR
22 22%
OCR
78% 78
Image Analysis
29 29%
Image Analysis
71% 71
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Machine Learning
22 22%
Machine Learning
78% 78

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What are some alternatives?

When comparing RustNN and DeepPy, 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.

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

Microsoft Cognitive Toolkit (Formerly CNTK) - Machine Learning

Clarifai - The World's AI

Merlin - Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

Knet - Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

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