Talk:Comparison of deep learning software/Resources: Difference between revisions

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Deep learning software not yet covered: + deepy, sklearn-theano, TF Learn (Scikit Flow) and TFLearn
m Deep learning software not yet covered: Ordered libraries alphabetically
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* [https://github.com/sklearn-theano/sklearn-theano sklearn-theano] – Scikit-learn compatible tools using theano
* [https://github.com/cgarciae/tensorbuilder Tensor Builder] – Lightweight extensible library for easy creation of deep neural networks using functions from "any Tensor-based library" (requires TensorFlow) through an API based on the Builder Pattern
* [https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/learn/python/learn TF Learn (Scikit Flow)] – Simplified interface for TensorFlow
* [http://tflearn.org/ TFLearn] – Deep learning library featuring a higher-level API for TensorFlow
* [https://github.com/hycis/TensorGraph TensorGraph] – Framework for building any models based on TensorFlow
* [https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/learn/python/learn TF Learn (Scikit Flow)] – Simplified interface for TensorFlow
* [https://research.googleblog.com/2016/08/tf-slim-high-level-library-to-define.html TF-Slim] – High level library to define complex models in TensorFlow
* [http://tflearn.org/ TFLearn] – Deep learning library featuring a higher-level API for TensorFlow
* [https://github.com/Ivaylo-Popov/Theano-Lights Theano-Lights] – Deep learning research framework based on Theano
* [https://github.com/nyanp/tiny-dnn tiny-dnn] – Header only, dependency-free deep learning framework in C++11