In recent years, there has been a surge in building and adopting machine learning (ML) tools. The use of GPUs to accelerate increasingly compute-intensive models has been a prominent trend. To increase user access, the Accelerated WEKA project provides an accessible entry point for using GPUs in well-known WEKA algorithms by integrating open-source RAPIDS libraries. In this post, you will be introduced to Accelerated WEKA and learn how to leverage GPU-accelerated algorithms with a graphical user interface (GUI) using WEKA software. This Java open-source alternative is suitable for beginners looking for a variety of ML algorithms from different environments or packages.