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SHARK VS Knet

Compare SHARK VS Knet and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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SHARK logo SHARK

See sharks everywhere with this AR app 🦈

Knet logo Knet

Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
  • SHARK Landing page
    Landing page //
    2020-02-11
  • Knet Landing page
    Landing page //
    2021-10-10

SHARK videos

+ Add

Marine Biologist Breaks Down Shark Attack Scenes from Movies | GQ

More videos:

  • Review - Shark vacuum cleaner test and review
  • Review - Marine Scientist Reviews Shark Attack Scenes, from 'Jaws' to 'Open Water' | Vanity Fair

Knet videos

+ Add

Play Doh Knetfiguren | deutsch - formen mit Knetix Knet-Set | Review and Fun

More videos:

  • Review - Review/Test: Soft-Knet-Set aus dem Müller Drogeriemarkt
  • Review - knet Mario review

Category Popularity

0-100% (relative to SHARK and Knet)

SHARK

Knet

Data Science And Machine Learning
76 76%
Data Science And Machine Learning
24% 24
OCR
30 30%
OCR
70% 70
Data Science Tools
100 100%
Data Science Tools
0% 0
Python Tools
100 100%
Python Tools
0% 0

User comments

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What are some alternatives?

When comparing SHARK and Knet, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python

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.

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