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DeepPy VS BrainCore

Compare DeepPy VS BrainCore 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.

BrainCore logo BrainCore

BrainCore is a simple but fast neural network framework written in Swift.
  • DeepPy Landing page
    Landing page //
    2019-06-12
  • BrainCore Landing page
    Landing page //
    2023-07-12

Category Popularity

0-100% (relative to DeepPy and BrainCore)

DeepPy

BrainCore

OCR
73 73%
OCR
27% 27
Machine Learning
80 80%
Machine Learning
20% 20
Image Analysis
72 72%
Image Analysis
28% 28
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0

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What are some alternatives?

When comparing DeepPy and BrainCore, 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.

Clarifai - The World's AI

Microsoft Cognitive Toolkit (Formerly CNTK) - Machine Learning

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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