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This is an old revision of Blog20160311IAworkingOnTheRoute made by BenoitAudouard on 2016-03-13 20:42:33.

 

An IA is working on the route


https://www.technologyreview.com/s/530276/hidden-obstacles-for-googles-self-driving-cars/


alphago for the game of Go

https://linuxfr.org/users/wilk/journaux/alphago-remporte-le-premier-match-contre-lee-sedol

http://developers.slashdot.org/story/16/03/13/1346215/gnu-project-introduces-gneural-network-ai-package
http://www.gnu.org/software/gneuralnetwork/ GPL-3+ - written in C
Theano: http://deeplearning.net/software/theano/ BSD - widely used Python deep learning framework: Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy_.
Caffe: http://caffe.berkeleyvision.org/ BSD 2-clause - widely used C+ + deep learning framework: Caffe is a deep learning framework made with expression, speed, and modularity in mind Torch: http://torch.ch/ used by Google, AlphaGo and Facebook: Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. https://www.tensorflow.org/ Google's large scale machine learning framework.
https://github.com/Microsoft/CNTK Microsoft's deep learning toolkit.

FOSS neural network libraries, such as the ones in Weka or the 13 year old FANN library.
Weka: http://www.cs.waikato.ac.nz/~ml/weka/ GPL-2+ - Java: Waikato Environment for Knowledge Analysis (Weka) is a popular suite of machine learning software written in Java, FANN: http://leenissen.dk/fann/wp/ LGPL - Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks.

http://www.lorienpratt.com/amazon-announces-machine-learning-for-aws/
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