This repository is a community-maintained study hub for the GATE Data Science and Artificial Intelligence (DA) exam. It provides syllabus-aligned resources including detailed markdown guides for seven core subjects (Probability & Statistics, Linear Algebra, Calculus & Optimization, Programming & Algorithms, Database Management, Machine Learning, Artificial Intelligence), verified previous-year question papers (2024–2026) with checksums, and focused Jupyter notebooks for practice. The primary delivery mechanism is a Flask web application that renders the markdown guides into an interactive curriculum explorer with topic checklists, progress tracking, presentation mode, and a radial memory map. The webapp can be exported as a static site for GitHub Pages deployment, and a CI/CD pipeline (GitHub Actions) runs tests, link audits, and checksum verification on each push. The repository also includes link validation scripts for pull requests and a set of deterministic example notebooks generated programmatically. While the core is an application, it also contains research-like elements such as exam pattern analysis, stale-link audits, and educational notebooks, but these are secondary to the main purpose of providing a structured, browsable study resource.
This repository implements a Chinese-localized version of the Stanford Generative Agents simulation. It creates a virtual town with 25 AI agents powered by LLMs (primarily via Ollama) that autonomously organize events, form relationships, and exhibit human-like behaviors. The system consists of a simulation engine that runs agent interactions over time, a compression tool to generate replay data, and a Flask-based web frontend for visualizing the simulation. Agents maintain memory, generate plans, reflect on experiences, and interact through LLM-driven conversations and actions. The application supports local deployment with configurable LLMs and includes features like breakpoint resumption and conversation logging.