How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Automated Documentation: Generates a parallel docs.md file for every notebook you run. - Context-Aware: Uses information from previous cells to understand the flow of your code. - Significance Filtering: Smartly ignores trivial cells (imports, prints, magic commands) to focus on the logic. -…
The main features of cubaseuser123/cellwise-langraph-notebook-agent are: Developer Toolkits.
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This project implements TnT-LLM, a framework designed for large-scale text mining using Large Language Models (LLMs). TnT-LLM automates two core tasks: label taxonomy generation and text classification, both of which traditionally require significant manual effort and domain expertise.
Transform your ideas with structured AI-powered brainstorming methods Built with Next.js, TypeScript, and OpenAI's GPT models
RAGLight is a lightweight and modular Python library for implementing Retrieval-Augmented Generation (RAG). It enhances the capabilities of Large Language Models (LLMs) by combining document retrieval with natural language inference.
Feed it CVE-2025-29824. Get back a markdown report that names the buggy function, shows the pre/post-patch decompiled C, walks the trigger flow, and attaches a confidence score and per-call cost trace.