This is a port of the Fractal Buddhabrot to the Odin programming language.
GSL is the equivalent from GNU to a NumPy and SciPy kind of libraries of Python but in C.
A high-performance implementation of the **HyperLogLog** probabilistic cardity estimator in the odin programming language, benchmarked against an exact distinct-count built on Odin's standard hashmap.
A simple yet interesting program that shows the performance of the Odin language on large images.
A pretty simple but fast FFT :-)
It takes a music WAV or MP3 file that is listenned on headphones, from a sound inside your head into a holographic, 3D wide stage like a 3D speakers sound in front of you in the same headphones.
A simple demonstration program of the technique.
advent of code stuff
Solutions to Advent of Code in Odin.
A simple port of a graph in C to the Odin programming language. And a good section of several templates.
It calculates the nearest city to a latitude and longitude, from a data file, as a point and not as a polygon.
This is a simple hot reload of a plugin code file in the Odin programming language.
Example with approximating sinc( x ) function.
Advent of code 2025 in odin
A simple but interesting program to increase the resolution and reduce noise in images.
One can say that this mathematical optimizer is on a class of its own, it solves Rosenbrock 600 Dimensions in less then one hour, on a sinlge thread on a slow computer.
A very simple RPC - Remote Procedure Calls, implemented in Odin with JSON marshaling/unmarshaling.
A simple implementation of a KDE with cross validation to find the best bandwith parameter.
A interesting concept, that trains the neural network at each epoch with 1.58 bits ternary states -1, 0, 1.
Without any specific optimization for MNIST it can achieve a score of 97.89 percent.
A port to Odin of an Moog Ladder Filter math model, with a port also of a modified real time audio example in RayLib with to demo it.
A simple way to ear a list of 1D and 2D points or the lines of the contour of an image.
Something that I made just for the fun of it, but that come out something really cool.
It achieves a better score 99 percent, then a fully connected neural network or SVM based on MNIST. Also, fast inference in us micro seconds.