fast parallel visualization of julia sets with CUDA and OpenMP
-
Updated
May 26, 2024 - C++
fast parallel visualization of julia sets with CUDA and OpenMP
The Fractal Flame Algorithm, FLAM3 for SideFX Houdini
Iterated Dynamics is an open source fractal generator with support for many fractal types.
NextFractal is an application for creating fractals and other algorithmically generated images
Mandelbrot by Jort, Mandelbrot set viewer written in Rust
iterated function systems in Rust
This repos contains a personnal project created within one week. It can generate fractals pictures based on a Julia Set, and explore such a fractal in real time (zoom in and out, go left, right, up and down)
A lightweight rendering and image processing framework for procedural art.
fast parallel visualization of julia sets in vanilla python
A simple Mandelbrot explorer
My fract-ol project for the 42 Cursus. A 42School graphical project to display the Mandelbrot Set, and the Julia Set, in its own graphical window. Built using 42 library, miniLibX. 105/100
🎨 Drawing images with pure lambda calculus
Renderizador de fractais utilizando codificação L-system
Fract'ol is a captivating exploration into the world of fractals, combining the beauty of mathematical patterns with the power of graphical programming. Developed using the MiniLibX library, this project allows users to dynamically generate and interact with the famous Julia and Mandelbrot sets.
Generation of fractales (Mandelbrot & Julia sets)
A CLI app written in Rust that generates Littlewood polynomials, finds their complex roots, and plots them in the complex-plane.
Example of a program in Xojo language generating fractals of type: Mandelbrot, Julia, Buddhabrot, Newton.
Simple fractal tree drawn in HTML5 canvas
Python function to convert RGB or grayscale image to Hilbert Space-Filling Curve
Add a description, image, and links to the fractal-rendering topic page so that developers can more easily learn about it.
To associate your repository with the fractal-rendering topic, visit your repo's landing page and select "manage topics."