Notebook from masters course in Probabilistic Cognitive Modelling @ University of Helsinki. Includes manual calculation of response distribution and Bayesian observer likelihoods.
-
Updated
Oct 21, 2024 - Jupyter Notebook
#
bayesian-machine-learning
Here are 4 public repositories matching this topic...
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
machine-learning
ipython-notebook
bayesian-inference
kernel-methods
gaussian-processes
bayesian-machine-learning
-
Updated
Jul 27, 2015
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
-
Updated
Jan 25, 2023 - Jupyter Notebook
Notebooks about Bayesian methods for machine learning
machine-learning
bayesian-methods
gaussian-processes
bayesian-optimization
bayesian-machine-learning
variational-autoencoder
-
Updated
Mar 6, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the bayesian-machine-learning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the bayesian-machine-learning topic, visit your repo's landing page and select "manage topics."