From df5ee3c45effd7ad85605e311b74d19b941c1a10 Mon Sep 17 00:00:00 2001 From: Zeyi Wen Date: Thu, 23 Nov 2017 16:09:09 +0800 Subject: [PATCH] add ThunderSVM ThunderSVM is a recent project for SVM training and prediction on GPUs and multi-core CPUs. It supports all the functionalities of LibSVM, but is often 10-100 times faster than LibSVM. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 2681b07..d351317 100644 --- a/README.md +++ b/README.md @@ -674,6 +674,7 @@ on MNIST digits[DEEP LEARNING]. * [t-Distributed Stochastic Neighbor Embedding](http://homepage.tudelft.nl/19j49/t-SNE.html) - t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. * [Spider](http://people.kyb.tuebingen.mpg.de/spider/) - The spider is intended to be a complete object orientated environment for machine learning in Matlab. * [LibSVM](http://www.csie.ntu.edu.tw/~cjlin/libsvm/#matlab) - A Library for Support Vector Machines. +* [ThunderSVM](https://github.com/zeyiwen/thundersvm) - An Open-Source SVM Library on GPUs and CPUs * [LibLinear](http://www.csie.ntu.edu.tw/~cjlin/liblinear/#download) - A Library for Large Linear Classification. * [Machine Learning Module](https://github.com/josephmisiti/machine-learning-module) - Class on machine w/ PDF, lectures, code * [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind.