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Caffe2

A New Lightweight, Modular, and Scalable Deep Learning Framework

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Caffe2 Alternatives

The best Caffe2 alternatives based on verified products, votes, reviews and other factors.
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  1. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

  2. 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.

  3. Open source deep learning platform that provides a seamless path from research prototyping to...

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

  5. MLKit is a simple machine learning framework written in Swift.

  6. Apache PredictionIO™ Open Source Machine Learning Server.

  7. An optimized HTTP server / library implementation that can be used either as a standalone server or...

  8. Select Target Platform Click on the green buttons that describe your target platform.

  9. Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

  10. NLTK is a platform for building Python programs to work with human language data.

  11. Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences.

  12. Framework that supports unified interface for data parallelization, hybrid data structure for big model storage, model scheduling etc.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Data Science And Machine Learning, Machine Learning, Data Dashboard