Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
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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
Machine Learning Course 2017 Fall @ National Taiwan University
C++ implementations of various classification algorithms on the "banknote authentication Data Set".
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.
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