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DeepPy VS Neurolab

Compare DeepPy VS Neurolab 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.

Neurolab logo Neurolab

Neurolab is a simple and powerful Neural Network Library for Python that contains based neural networks, train algorithms and flexible framework to create and explore other neural network types.
  • DeepPy Landing page
    Landing page //
    2019-06-12
  • Neurolab Landing page
    Landing page //
    2023-10-10

DeepPy videos

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Neurolab videos

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NeuroLab Urine & Saliva Test Instructional Video

More videos:

  • Review - Alzheimer's Disease_Ruffin NeuroLab RIP 20200909 Malcolm Lee I
  • Review - N.PHONE Smart Hud (Next.Gen AIO HUD Technology) (EN/FR) Neurolab Inc. (Second Life)

Category Popularity

0-100% (relative to DeepPy and Neurolab)

DeepPy

Neurolab

OCR
83 83%
OCR
17% 17
Machine Learning
79 79%
Machine Learning
21% 21
Image Analysis
75 75%
Image Analysis
25% 25
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 Neurolab, 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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