AutoGen.ipynb: A Jupyter Notebook likely used for automatic generation of content or data.Bard_in_Colab.ipynb: A Jupyter Notebook possibly exploring the use of Bard in Google Colab.ColabFeatures.ipynb: A Jupyter Notebook detailing features available in Google Colab.How_to_use_R_with_you_Data_storage_in_Google Drive.ipynb: A guide on integrating R with Google Drive for data storage.Pareto_Front_Emerging_Patterns.ipynb: A Jupyter Notebook analyzing Pareto front and emerging patterns.Run_Streamlit_Apps_From_Colab_Without_Ngrok.ipynb: A guide on running Streamlit apps from Colab without using Ngrok.
| Directory | Description |
|---|---|
a2a_mcp |
Dedicated to the Model Context Protocol (MCP) server, facilitating the exchange of model context information across applications. Includes SSE scripts for real-time data updates and interactions. |
coding |
Contains Python scripts for financial data visualization, specifically stock prices, offering insights into market trends and patterns. |
computer_vision |
Jupyter Notebooks exploring various aspects of computer vision, offering educational content and practical examples for image processing. |
crewai |
A hub for AI-driven creative projects, offering resources and tools for tasks such as policy analysis and study assistance. |
facebook |
Focuses on data and visualizations related to Facebook's stock prices, including CSV files, JSONL files, and PNG images. |
graphrag |
Dedicated to graph-based data analysis using Neo4j, providing tutorials and examples for data analysis with graph databases. |
langgraph |
Contains Jupyter Notebooks related to language graph analysis, combining NLP with graph theory to analyze and visualize language data. |
llm_miscellanea |
A collection of miscellaneous Jupyter Notebooks related to large language models (LLMs), covering a wide range of topics. |
n8n |
Contains JSON files related to n8n, an open-source workflow automation tool, demonstrating workflow automation and integration. |
pydanticAI |
Features Jupyter Notebooks and scripts utilizing Pydantic for data validation and settings management in Python. |
smole_agents |
Contains a Jupyter Notebook focused on smol agents, offering insights into the development and deployment of specialized agents for specific tasks. |
vector_db |
Dedicated to vector databases, exploring aspects like metadata management and image search powered by embeddings. |