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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.

Open Source

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

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

Open Source

Heroku for deep learning

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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.

Open Source

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

Open Source

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.

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

Caffe is an open source, deep learning framework.

Open Source

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.

BigDL is a distributed deep learning library for Apache Spark.