Popular GitHub Repositories for Ravgv Methodology

Large Language Model Agent: A Survey on Methodology, Applications and Challenges

The Art of Debugging

[FORGE 2025] Incorporating Agile methodology into agents to create complex real-world softwares

This methodology provides a structured approach for collaborating with AI systems on software development projects. It addresses common issues like code bloat, architectural drift, and context dilution through systematic constraints and validation checkpoints.

Prompt Driven Development Command Line Interface

Intelligent zettelkasten where AI agents help you capture, process, and recall knowledge seamlessly

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients.

Natural Language Application Development (NLAD) - A methodology for building applications by leveraging LLMs to create higher levels of abstraction in software development.

Advanced Agentic Development Environment Supporting Devpods, Github Codespaces, and more! Features 600+ AI agents, Claude Flow, SPARC methodology, and automatic context loading! Deploy intelligent multi-agent swarms, coordinate autonomous workflows.

Official implementation of "Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology"

GodlikeAI——让机器像神一样思考

Mathematical benchmark exposing the massive performance gap between real agents and LLM wrappers. Rigorous multi-dimensional evaluation: stress testing, network resilience, ensemble coordination, failure analysis. Features statistical validation and reproducible methodology for separating architectural theater from real systems.

?️ AI research assistant that generates Wikipedia-quality articles through multi-perspective analysis. Based on Stanford's STORM methodology.

[IEEE TGRS 2022] Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark

Denoising Autoencoders for Phenotype Stratification

Lightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology

The Game Analytics Pipeline solution helps game developers to apply a flexible, and scalable DataOps methodology to their games. Allowing them to continuously integrate, and continuously deploy a scalable serverless data pipeline for ingesting, storing, and analyzing telemetry data generated from games, and services.

ProText Analyzer is a powerful tool for extracting insights from text. It conducts sentiment analysis, categorizing content as positive, negative, or neutral, while also assessing readability and linguistic complexity. Ideal for businesses and researchers, it enhances understanding of textual data.

This project proposes a novel methodology to automatically learn financial lexicons that outperform the benchmark Loughran-McDonald lexicon in sentiment analysis tasks

This repository provides an online certification program in Data Science and Machine Learning offered by IBM and Coursera. The program covers topics such as data science methodology, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. The courses are hands-on and conducted on the IBM Cloud,