From d543ad0a4bbc7ed007117a6438464a48857c0f99 Mon Sep 17 00:00:00 2001 From: Sean Massung Date: Fri, 1 May 2015 11:07:12 -0500 Subject: [PATCH 1/3] add MeTA to machine learning projects --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 93e6ac2..23cc6ff 100644 --- a/README.md +++ b/README.md @@ -338,6 +338,9 @@ A curated list of awesome C/C++ frameworks, libraries, resources, and shiny thin * [Caffe](https://github.com/BVLC/caffe) - A fast framework for neural networks. [BSD] * [CCV](https://github.com/liuliu/ccv) - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD] +* [MeTA](https://meta-toolkit.org/) - A modern C++ data sciences toolkit + featuring multi-lingual text tokenization, a customizable search engine, + machine learning algorithms, POS-tagging, grammatical parsing, and more! [MIT] * [Minerva](https://github.com/minerva-developers/minerva) - A fast and flexible system for deep learning. [Apache2] * [mlpack](http://www.mlpack.org/) - A scalable c++ machine learning library. [LGPLv3] * [OpenCV](https://github.com/Itseez/opencv) :zap: - Open Source Computer Vision Library. [BSD] [website](http://opencv.org/) From c9127f7dc8b1d8bc2c28a15ad3720c1db2820113 Mon Sep 17 00:00:00 2001 From: Sean Massung Date: Fri, 1 May 2015 13:02:42 -0500 Subject: [PATCH 2/3] correct formatting based on contribution guidelines --- README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 23cc6ff..5b34562 100644 --- a/README.md +++ b/README.md @@ -338,9 +338,10 @@ A curated list of awesome C/C++ frameworks, libraries, resources, and shiny thin * [Caffe](https://github.com/BVLC/caffe) - A fast framework for neural networks. [BSD] * [CCV](https://github.com/liuliu/ccv) - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD] -* [MeTA](https://meta-toolkit.org/) - A modern C++ data sciences toolkit - featuring multi-lingual text tokenization, a customizable search engine, - machine learning algorithms, POS-tagging, grammatical parsing, and more! [MIT] +* [MeTA](https://github.com/meta-toolkit/meta) - A modern C++ data sciences + toolkit featuring multilingual text tokenization, a customizable search + engine, machine learning algorithms, POS-tagging, grammatical parsing, and + more. [MIT] [website](https://meta-toolkit.org/) * [Minerva](https://github.com/minerva-developers/minerva) - A fast and flexible system for deep learning. [Apache2] * [mlpack](http://www.mlpack.org/) - A scalable c++ machine learning library. [LGPLv3] * [OpenCV](https://github.com/Itseez/opencv) :zap: - Open Source Computer Vision Library. [BSD] [website](http://opencv.org/) From 4807ed96c0c52db21aae4c31fe5b1f6ebaa9c15c Mon Sep 17 00:00:00 2001 From: Sean Massung Date: Sat, 2 May 2015 15:08:19 -0500 Subject: [PATCH 3/3] one line --- README.md | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/README.md b/README.md index 5b34562..177bf0a 100644 --- a/README.md +++ b/README.md @@ -338,10 +338,7 @@ A curated list of awesome C/C++ frameworks, libraries, resources, and shiny thin * [Caffe](https://github.com/BVLC/caffe) - A fast framework for neural networks. [BSD] * [CCV](https://github.com/liuliu/ccv) - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD] -* [MeTA](https://github.com/meta-toolkit/meta) - A modern C++ data sciences - toolkit featuring multilingual text tokenization, a customizable search - engine, machine learning algorithms, POS-tagging, grammatical parsing, and - more. [MIT] [website](https://meta-toolkit.org/) +* [MeTA](https://github.com/meta-toolkit/meta) - A modern C++ data sciences toolkit. [MIT] [website](https://meta-toolkit.org/) * [Minerva](https://github.com/minerva-developers/minerva) - A fast and flexible system for deep learning. [Apache2] * [mlpack](http://www.mlpack.org/) - A scalable c++ machine learning library. [LGPLv3] * [OpenCV](https://github.com/Itseez/opencv) :zap: - Open Source Computer Vision Library. [BSD] [website](http://opencv.org/)