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Amazon DSSTNE VS VLFeat

Compare Amazon DSSTNE VS VLFeat and see what are their differences

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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 logo VLFeat

VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching.
  • Amazon DSSTNE Landing page
    Landing page //
    2023-10-16
  • VLFeat Landing page
    Landing page //
    2021-10-14

Category Popularity

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

Amazon DSSTNE

VLFeat

Data Science And Machine Learning
50 50%
Data Science And Machine Learning
50% 50
Data Science Tools
27 27%
Data Science Tools
73% 73
Deep Learning
100 100%
Deep Learning
0% 0
Software Libraries
0 0%
Software Libraries
100% 100

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What are some alternatives?

When comparing Amazon DSSTNE and VLFeat, you can also consider the following products

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.

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

Floyd - Heroku for deep learning

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

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

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

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