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

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VLFeat Alternatives

The best VLFeat alternatives based on verified products, votes, reviews and other factors.
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  1. 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.

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

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

  4. Heroku for deep learning

  5. Quid software reads millions of text based documents and offers immediate insight by organizing that content visually.

  6. DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.

  7. Sponsors. Use Mocha at Work? Ask your manager or marketing team if they'd help support our project. Your company's logo will also be displayed on npmjs. com and our GitHub repository.

  8. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.

  9. Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

  10. Caffe is an open source, deep learning framework.

  11. 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.

  12. BigDL is a distributed deep learning library for Apache Spark.

  13. Deep Scalable Sparse Tensor Network Engine (DSSTNE) is a library for building Deep Learning (DL) and machine learning (ML) models.

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