Difference between revisions of "Libraries & Frameworks"
| Line 4: | Line 4: | ||
* [[H20]] | * [[H20]] | ||
* [[MXNet]] | * [[MXNet]] | ||
| + | * [http://en.wikipedia.org/wiki/Neuroph|Neuroph] | ||
* [[PyTorch]] | * [[PyTorch]] | ||
* [[neon]] | * [[neon]] | ||
| Line 12: | Line 13: | ||
* [[theano]] | * [[theano]] | ||
* [[Scikit-learn]] | * [[Scikit-learn]] | ||
| − | * [http://en.wikipedia.org/wiki/Mahout] | + | * [http://en.wikipedia.org/wiki/Mahout|Mahout] |
| − | * [http://en.wikipedia.org/wiki/OpenNN] | + | * [http://en.wikipedia.org/wiki/OpenNN|OpenNN] |
| − | * [http://en.wikipedia.org/wiki/Torch]] | + | * [http://en.wikipedia.org/wiki/Torch]Torch] |
===GUI frameworks=== | ===GUI frameworks=== | ||
| − | * [http://en.wikipedia.org/wiki/Neural Designer], a commercial [[deep learning]] tool for [[predictive analytics]]. | + | * [http://en.wikipedia.org/wiki/Neural_Designer|Neural Designer], a commercial [[deep learning]] tool for [[predictive analytics]]. |
| − | * [http://en.wikipedia.org/wiki/ | + | * [http://en.wikipedia.org/wiki/OpenCog|OpenCog], a GPL-licensed framework for artificial intelligence written in C++, Python and Scheme. |
| − | + | * [http://en.wikipedia.org/wiki/RapidMiner|RapidMiner], an environment for machine learning and [[data mining]], now developed commercially. | |
| − | * [http://en.wikipedia.org/wiki/RapidMiner], an environment for machine learning and [[data mining]], now developed commercially. | + | * [http://en.wikipedia.org/wiki/Weka|Weka], a free implementation of many machine learning algorithms in Java. |
| − | * [http://en.wikipedia.org/wiki/Weka], a free implementation of many machine learning algorithms in Java. | ||
Revision as of 08:35, 20 May 2018
Libraries
- Deeplearning4j
- theano
- Scikit-learn
- [2]
- [3]
- [4]Torch]
GUI frameworks
- Designer, a commercial deep learning tool for predictive analytics.
- [5], a GPL-licensed framework for artificial intelligence written in C++, Python and Scheme.
- [6], an environment for machine learning and data mining, now developed commercially.
- [7], a free implementation of many machine learning algorithms in Java.
