From ce3a92f89b8557c2b2bdc1e93c4ecce58ac39a79 Mon Sep 17 00:00:00 2001 From: Ioannis Chatzikonstantinou Date: Mon, 24 Aug 2015 21:04:03 +0300 Subject: [PATCH] Added YCML --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 14283b3..2ed9cee 100644 --- a/README.md +++ b/README.md @@ -575,6 +575,7 @@ on MNIST digits[DEEP LEARNING] ### General-Purpose Machine Learning +* [YCML](https://github.com/yconst/YCML) - A Machine Learning framework for Objective-C and Swift (OS X / iOS). * [MLPNeuralNet](https://github.com/nikolaypavlov/MLPNeuralNet) - Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural network. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available. * [MAChineLearning](https://github.com/gianlucabertani/MAChineLearning) - An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it's 20 times faster than its Java equivalent. Includes sample code for use from Swift. * [BPN-NeuralNetwork](https://github.com/Kalvar/ios-BPN-NeuralNetwork) - It implemented 3 layers neural network ( Input Layer, Hidden Layer and Output Layer ) and it named Back Propagation Neural Network (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis.