From af48951684e82c8670243816dd5d0284271d276e Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Thu, 1 Nov 2018 07:13:42 +0200 Subject: [PATCH] Add link to the repo with ML algorithms in MatLab. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index a3047cf9..58db974d 100644 --- a/README.md +++ b/README.md @@ -723,6 +723,7 @@ on MNIST digits[DEEP LEARNING]. * [Pattern Recognition and Machine Learning](https://github.com/PRML/PRMLT) - This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop. * [Optunity](http://optunity.readthedocs.io/en/latest/) - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly with MATLAB. * [MXNet](https://github.com/apache/incubator-mxnet/) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more. +* [Machine Learning in MatLab/Octave](https://github.com/trekhleb/machine-learning-octave) - examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained.