bayesgroup/deepbayes-2018 resource

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1045 stars · 268 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter Notebook seminars from the DeepBayes Summer School 2018, run by the BayesGroup. It covers deep learning with a focus on Bayesian methods and variational inference, runnable interactively via Binder.

Use cases

• learn bayesian deep learning from notebooks
• study variational inference with hands-on examples
• find deep learning summer school course materials
• practice probabilistic deep learning in jupyter
• self-study materials on bayesian neural networks
• teach a course on variational methods in deep learning

When to choose

• you want free, notebook-based tutorials on Bayesian deep learning and variational inference
• you prefer runnable code you can explore in Binder or locally
• you are an instructor looking for ready-made seminar exercises

When to avoid

• you need a maintained software library or production tool
• you want up-to-date materials reflecting current deep learning practice (content is from 2018)
• you need a licensed, redistributable codebase (no license is specified)

Facets

learning-resource · maturity maintenance

deep-learning machine-learning data-science deep-learning machine-learning tutorials python cross-platform jupyter-notebooks bayesian-methods variational-inference summer-school seminars education

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markdown · JSON · MCP: product_card(name="bayesgroup/deepbayes-2018")