IntroductionWhen drawing graphs in Python, it is common to use a step-by-step approach: setting axes, adjusting legends, ...
An open-source Python suite called ParaStereoSync and KineViz-3D uses consumer cameras, printed markers, and software-based ...
ai_classify accepts up to 500 labels per call. For larger taxonomies, pre-filter labels per document using embedding similarity, then call ai_classify on the shortlist of top-K candidates. This ...
A Spanish research team has released FuzzyDiary, an open-source Python framework that converts univariate clinical time ...
A MCP (Model Context Protocol) server that transforms CSV data into beautiful visualizations. Built with Python and optimized for seamless integration with AI assistants and chat applications. The ...
Simulation Results Post-Processing Code Completion Dataset This dataset covers common simulation post-processing workflows, including result loading, derived quantity calculation, data filtering, ...
Project Objective: The primary objective of this project is to develop an intelligent traffic sign classification system using deep learning techniques. Objectives: Load traffic sign image dataset ...