Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
-
Updated
Jun 4, 2024 - Python
Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)
Location-Content-Aware Recommender System in Python and R
Repository containing Parameter Inference and Posterior Computation codes of CMAP
Locate seismic events on a simplified 2-d model of the earth. This is a challenge problem and data set for PPLs (Probabilistic Programming Languages) or generative models in general. Probabilistic inference techniques can be tested and published on this challenge.
Machine Learning Course 2017 Fall @ National Taiwan University
C++ implementations of various classification algorithms on the "banknote authentication Data Set".
Add a description, image, and links to the probabilistic-generative-model topic page so that developers can more easily learn about it.
To associate your repository with the probabilistic-generative-model topic, visit your repo's landing page and select "manage topics."