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VLFeat VS Floyd

Compare VLFeat VS Floyd and see what are their differences

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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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VLFeat logo VLFeat

VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching.

Floyd logo Floyd

Heroku for deep learning
  • VLFeat Landing page
    Landing page //
    2021-10-14
  • Floyd Landing page
    Landing page //
    2023-03-20

VLFeat videos

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Floyd videos

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How to: Floyd Bed and Purple Mattress + Review (Not Sponsored)

More videos:

  • Review - Floyd Bed Frame Setup and Review - Is it Supportive Enough?
  • Review - FLOYD (FLAT PACK) REVIEW/UNBOXING | THE SOFA + THE COFFEE TABLE + THE FLOYD BED | APARTMENT BUNDLE

Category Popularity

0-100% (relative to VLFeat and Floyd)

VLFeat

Floyd

Data Science And Machine Learning
19 19%
Data Science And Machine Learning
81% 81
Data Science Tools
43 43%
Data Science Tools
57% 57
AI
0 0%
AI
100% 100
Software Libraries
100 100%
Software Libraries
0% 0

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What are some alternatives?

When comparing VLFeat and Floyd, 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.

Deep Learning Gallery - A curated list of awesome deep learning projects

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

OpenCV - OpenCV is the world's biggest computer vision library

Lobe - Visual tool for building custom deep learning models

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