This is a collection of small projects that I have worked on. They are mostly toy projects that I have done to learn new things or to experiment with different ideas. The projects are organized into different categories based on the topic of the project.
math: mathematical methods.ml: machine learning.others: other random stuff.
- math-GP: A simple implementation of a Bayesian optimizer based on gaussian process regression in python. To compare the performance of the bayesian optimizer, a simulated annealing optimizer and a genetic algorithm optimizer are also implemented.