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BrainCore VS DeepPy

Compare BrainCore VS DeepPy and see what are their differences

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BrainCore logo BrainCore

BrainCore is a simple but fast neural network framework written in Swift.

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 Landing page
    Landing page //
    2023-07-12
  • DeepPy Landing page
    Landing page //
    2019-06-12

Category Popularity

0-100% (relative to BrainCore and DeepPy)

BrainCore

DeepPy

OCR
26 26%
OCR
74% 74
Image Analysis
25 25%
Image Analysis
75% 75
Machine Learning
21 21%
Machine Learning
79% 79
Data Science And Machine Learning
23 23%
Data Science And Machine Learning
77% 77

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What are some alternatives?

When comparing BrainCore 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

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

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.

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