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Visual renderers specifically utilizing the Java Swing framework for desktop data visualization.
Distinct from Interactive Visualization Rendering: Focuses on the Java Swing implementation of the rendering engine rather than general interactive rendering.
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Smile is a comprehensive JVM machine learning library and statistical computing toolkit. It provides a suite of algorithms for classification, regression, and clustering, implemented natively for Java, Scala, and Kotlin. The project also functions as a deep learning framework, a natural language processing library, and an inference engine for large language models. The library distinguishes itself through GPU acceleration via LibTorch bindings and support for the ONNX model interchange format. It includes specialized capabilities for large language model inference, featuring Byte-Pair Encodin
Renders interactive 2D and 3D plots using the Java Swing framework for desktop data exploration.