MCP_Arxiv_demo
This Jupyter Notebook provides a demo related to the Machine Learning Community Platform (MCP). It primarily showcases machine learning algorithms and data processing techniques, allowing users to engage hands-on in learning. The focus is particularly on data preprocessing and model evaluation.
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MCP Demo
This demo showcases a simple MCP example that downloads files from Arxiv and produces some insights from that. Taken from this coursera course: https://learn.deeplearning.ai/courses/mcp-build-rich-context-ai-apps-with-anthropic/lesson/dbabg/creating-an-mcp-server. In there you can go to File → Open... and navigate to L3 to find the base notebook.
Setup
python -m venv venv
source venv/bin/activate # or venv\Scripts\activate on Windows
pip install -r requirements.txt → not added for now.
The adk-toolbox-agent is a tool designed to assist development in Jupyter Notebook environments. It offers features that are beneficial for data analysis and machine learning projects, enabling users to work more efficiently. Notably, it simplifies tasks such as data visualization and model evaluation.