Disclaimer: This is based on information I believe to be true, in 2024, in the United States, and in the state of California specifically. Laws change over time and there are subtleties to all these things, so please talk to a financial professional before taking specific actions. I do hope this helps illuminates how to … Continue reading →

The code that made the data and diagrams for this post is plain C++ and can be found at https://github.com/Atrix256/Adam I recently published a set 3 of articles on machine learning in plain C++ for game developers, as well as a video version of the same content. This article explains an improvement to plain gradient descent … Continue reading →

This post explains how to use sliced optimal transport to make blue noise point sets. The plain, well commented C++ code that goes along with this post, which made the point sets and diagrams, is at https://github.com/Atrix256/SOTPointSets. This is an implementation and investigation of “Sliced Optimal Transport Sampling” by Paulin et al (http://www.geometry.caltech.edu/pubs/PBCIW+20.pdf). They also have … Continue reading →

This goes along with the blog post for generating blue noise point sets using sliced optimal transport at https://blog.demofox.org/2023/12/24/making-blue-noise-point-sets-with-sliced-optimal-transport/ The code implementing this can be found on github at https://github.com/Atrix256/SOTPointSets/blob/main/squarecdf.h The diagrams in this post were made at https://www.geogebra.org/geometry I tried deriving this a few times, but kept getting a PDF that was more complex … Continue reading →

This post goes through a common exercise in applying optimal transport to graphics, using informal language and simple, standalone C++ to implement it. The post uses sliced optimal transport which compared to standard optimal transport solvers is more intuitive, more efficient, and makes for a simpler implementation. The code that goes with this post is … Continue reading →

The simple standalone C++ code that goes with this post and makes autostereograms, can be found at https://github.com/Atrix256/Autostereogram. The 1990s! They felt like a wasteland of culture at the time, but looking back, there was hyper color t-shirts, the beginning of mainstream computing and the internet, the height of alternative rock, and of course magic … Continue reading →

The simple standalone C++ code to generate orthogonal arrays that goes with this post can be found at https://github.com/Atrix256/OrthogonalArray The last blog post talked about a way to design a series of experiments with N combinations that let you do only N/2 of the experiments, or N/4, or fewer. It also had a formalized framework … Continue reading →