Search Results for "reason"

...It helps bridge the gap between LLMs and real-world engineering code by offering tooling to index, analyze, query, and augment code context, so that AI can meaningfully reason about existing code, suggest edits, and navigate across projects. Modular build tasks (run, test, build, shadowJar, tidy, etc.) to support development workflows. Integration of front-end + back-end layers (web UI + CLI + internal services).

LAML is a stand-alone pure Java library for linear algebra and machine learning. The goal is to build efficient and easy-to-use linear algebra and machine learning libraries. The reason why linear algebra and machine learning are built together is that full control of the basic data structures for matrices and vectors is required to have fast implementation for machine learning methods. Additionally, LAML provides a lot of commonly used matrix functions in the same signature to MATLAB, thus can also be used to manually convert MATLAB code to Java code.

The JMX Extension package provides the capability to manage selective Protégé OWL API remotely using the JMX library. This package allows distributed software components to retrieve, contribute, and reason about information in single OWL ontology.

Yajre is a java rules engine with semantics designed for rules that are easy to reason about. Yajre is sponsored by Ecensity, home of the JSP portal `displet'.