MLvolve is a agent based simulation of AI Research. The goal of the project is to understand how AI research evolves at multiple levels with multiple agents each with a unique set of incentives.The project is built in MESA and Pyro with a Pytorch Backend with visulisations powered by Plotly and GUI with Streamlit.
To get started you need Python 3.6 or above then simply:
git clone https://github.com/Shivamshaiv/MLvolve
pip install -r requirements.txt
python model.py
To get started with the GUI, you need Streamlit :
git clone https://github.com/Shivamshaiv/MLvolve
pip install -r requirements.txt
streamlit run app_model.py
The GUI Webapp looks as under, however it is under development and could have bugs.
This project is build by Shivam Patel as a part of his bachelors thesis at The Center for the Study of Existential Risk, University of Cambridge under the guidance of Dr Shahar Avin and Dr Jess Whittlestone
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