From bc509df37b634f92a275d3b420ca54c8913af029 Mon Sep 17 00:00:00 2001 From: shathor Date: Thu, 3 Sep 2020 00:01:18 +0200 Subject: [PATCH 1/2] Add ML libraries ojAlgo and Tribuo Add ML libraries ojAlgo and Tribuo --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 3b966ee3..638d91c4 100644 --- a/README.md +++ b/README.md @@ -572,9 +572,11 @@ _Tools that provide specific statistical algorithms for learning from data._ - [Deeplearning4j](https://deeplearning4j.org) - Distributed and multi-threaded deep learning library. - [H2O ![c]](https://www.h2o.ai) - Analytics engine for statistics over big data. - [JSAT](https://github.com/EdwardRaff/JSAT) - Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution. (GPL-3.0-only) +- [ojAlgo](https://www.ojalgo.org/) - High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing. - [Oryx 2](https://github.com/OryxProject/oryx) - Framework for building real-time, large-scale machine learning applications. Includes end-to-end applications for collaborative filtering, classification, regression, and clustering. - [Siddhi](https://github.com/siddhi-io/siddhi) - Cloud native streaming and complex event processing engine. - [Smile](https://github.com/haifengl/smile) - Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library. +- [Tribuo](https://tribuo.org/) - Provides tools for classification, regression, clustering, model development and interfaces with other libraries such as scikit-learn, pytorch and TensorFlow. - [Weka](https://www.cs.waikato.ac.nz/ml/weka/) - Collection of algorithms for data mining tasks ranging from pre-processing to visualization. (GPL-3.0-only) ### Messaging From b9487374d7f6cd742a8fe5f1526dc8d2b76736d0 Mon Sep 17 00:00:00 2001 From: Andreas Kull Date: Mon, 21 Sep 2020 11:31:18 +0200 Subject: [PATCH 2/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 638d91c4..56d10cad 100644 --- a/README.md +++ b/README.md @@ -572,7 +572,7 @@ _Tools that provide specific statistical algorithms for learning from data._ - [Deeplearning4j](https://deeplearning4j.org) - Distributed and multi-threaded deep learning library. - [H2O ![c]](https://www.h2o.ai) - Analytics engine for statistics over big data. - [JSAT](https://github.com/EdwardRaff/JSAT) - Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution. (GPL-3.0-only) -- [ojAlgo](https://www.ojalgo.org/) - High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing. +- [oj! Algorithms](https://www.ojalgo.org/) - High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing. - [Oryx 2](https://github.com/OryxProject/oryx) - Framework for building real-time, large-scale machine learning applications. Includes end-to-end applications for collaborative filtering, classification, regression, and clustering. - [Siddhi](https://github.com/siddhi-io/siddhi) - Cloud native streaming and complex event processing engine. - [Smile](https://github.com/haifengl/smile) - Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.