From 2d3cda28556aa9c1a7702b17407262104a7869ed Mon Sep 17 00:00:00 2001 From: Shimon Doodkin Date: Wed, 18 Mar 2015 19:27:49 +0200 Subject: [PATCH] accord-framework.net is in c# not in c --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 79fc1df..204a126 100644 --- a/README.md +++ b/README.md @@ -91,7 +91,7 @@ For a list of free machine learning books available for download, go [here](http #### General-Purpose Machine Learning * [Recommender](https://github.com/GHamrouni/Recommender) - A C library for product recommendations/suggestions using collaborative filtering (CF). -* [Accord-Framework](http://accord-framework.net/) -The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications. + #### Computer Vision @@ -523,6 +523,7 @@ on MNIST digits[DEEP LEARNING] #### General-Purpose Machine Learning +* [Accord-Framework](http://accord-framework.net/) -The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications. * [Accord.MachineLearning](http://www.nuget.org/packages/Accord.MachineLearning/) - Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework. * [Vulpes](https://github.com/fsprojects/Vulpes) - Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase. * [Encog](http://www.nuget.org/packages/encog-dotnet-core/) - An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.