1 repo
Tools for executing machine learning models locally on a developer's machine.
Distinguishing note: Focuses on the execution environment rather than the model training.
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This project is a comprehensive educational curriculum focused on the design, implementation, and deployment of autonomous software agents. It provides a structured learning path that combines theoretical foundations with practical, hands-on exercises, enabling students to master the development of intelligent agents using industry-standard frameworks. The course distinguishes itself through an interactive, notebook-based delivery model that allows learners to execute code and experiment with agent frameworks directly. It supports flexible execution environments, allowing students to utilize
Enables local execution of machine learning models to bypass cloud credit limits.