Metis is an interactive project designed to provide a hands-on learning experience in machine learning. From foundational code to user-friendly interfaces, it allows you to explore machine learning concepts in-depth. Whether you're learning about reinforcement learning or advanced techniques like diffusion models, Metis offers a comprehensive journey into the nuances and intricacies of various machine learning techniques.
Install Project Dependencies First ensure you have Poetry installed for managing project dependencies. Then run the following commands:
pip install poetry
poetry install
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Running Machine Learning Models
To experiment with individual machine learning models, navigate to the appropriate folder under
src/
and execute:python src/.../train.py
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Running the Pretrained Model UI
For pretrained models with a user interface, run the following command:
python app/main.py
Once the server is running, open your web browser and go to: http://localhost:8000
To view specific examples, append the relevant topic to the URL. For example, to explore the MNIST example, navigate to: http://localhost:8000/mnist