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VLFeat VS Amazon DSSTNE

Compare VLFeat VS Amazon DSSTNE and see what are their differences

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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.

Amazon DSSTNE logo Amazon DSSTNE

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is a library for building Deep Learning (DL) and machine learning (ML) models.
  • VLFeat Landing page
    Landing page //
    2021-10-14
  • Amazon DSSTNE Landing page
    Landing page //
    2023-10-16

VLFeat

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Computer Vision
  • Software Libraries
Website vlfeat.org
Edit details

Amazon DSSTNE

Categories
  • Deep Learning
  • Data Dashboard
  • Data Science And Machine Learning
Website github.com
Edit details

Category Popularity

0-100% (relative to VLFeat and Amazon DSSTNE)

VLFeat

Amazon DSSTNE

Data Science Tools
100 100%
Data Science Tools
0% 0
Data Science And Machine Learning
50 50%
Data Science And Machine Learning
50% 50
Software Libraries
100 100%
Software Libraries
0% 0
Deep Learning
0 0%
Deep Learning
100% 100

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What are some alternatives?

When comparing VLFeat and Amazon DSSTNE, 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.

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.

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

Floyd - Heroku for deep learning

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

Deeplearning4j - Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

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