Software
A key focus of the Artificial Intelligence Institute will be continuing to develop and maintain open-source software.
Our software supports research, innovation and application of artificial intelligence, through fast, reliable and secure development tools.
We are the leading developers of some of the most popular open source tools for machine learning and data mining including WEKA, MOA, and ADAMS, with more than 10 million downloads.
Open source software reduces training costs and provides access to publicly available frameworks, workflow, data sets and models, alongside a community providing monitoring and security.
Waikato Environment for Knowledge Analysis (WEKA)
WEKA (Waikato Environment for Knowledge Analysis) is an open source machine learning software in JAVA. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization.
WEKA has been downloaded more than 10,542,000 times, is the most popular open source software for Machine Learning in Java, and the most popular tool to learn Machine Learning, thanks to the best-selling book “Data Mining” and MOOC courses.
The software has also been cited in more than 18,000 research and applied data science publications.
WEKA is one of the oldest available machine learning systems available, having started development in 1993, and it is still very active in the machine learning / data mining / AI space.
Massive Online Analysis
MOA is the most popular open source framework for data stream mining, with a very active growing community. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation, that are suitable for data streams, i.e. cases where one doesn’t have the opportunity to re-process the data multiple times.
Advanced Data mining And Machine learning System (ADAMS)
ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes, released under GPLv3.
streamDM: Data Mining for Spark Streaming
streamDM is a new open source software for mining big data streams using Spark Streaming, developed at Huawei Noah's Ark Lab. streamDM is licensed under Apache Software License v2.0.
River - Machine Learning for Data Streams in Python
River: Python package for streaming and machine learning and handles regression, classification and unsupervised learning. Ideal for adhoc tasks like online metrics computation and concept drift detection