An Eevorg is a funky presentation of a 1D cellular automaton, with color lookup tables derived the same way as the original FocalFusion pseudo-color lookup tables. Eevorg "evolve" through random mutation driven by user choices.
This is an MFC + OpenGL Windows application. Requires Visual Studio with MFC components.
mkdir build; cd build; cmake ..
cmake --build .Output: EevorgOgl.exe
| Year | Project | Description |
|---|---|---|
| 1988 | TuringPas | Text GUI with machine table |
| 1991 | CA1D / AUTOMATA | First GUI for cellular automata |
| 1992 | JuliaB | Fractal visualization GUI |
| 1992 | EEVORG | First eevorg implementation (Borland C++) |
| 1995 | Winorg | Windows MFC port |
| 2007 | Eevorg.NET | .NET/CLR version |
| 2011 | EevorgBulbApp | MFC + OpenGL with 3D bulb rendering (this repo) |
| 2023 | eevorg2dsr | Python 2D CA with PyTorch + ESRGAN |
| 2025 | EevorgApi | .NET 8 Aspire REST API |
| 2025 | Winorg Python | Streamlit/Gradio web app reimplementation |
The archive/ directory contains historical implementations:
1991.10.15 AUTOMATA/- Original cellular automata with DAT specimens1992.02.12 EEVORG/- First eevorg (Borland C++)1992 FRACTAL/- Julia set, Mandelbrot, dynamical systems1993.07.12 TESTOST/- Experimental version1994-1997 Organism/- Intermediate versions1995 Winorg/- Windows MFC port2009.07 Eevorg.NET/- .NET/CLR version with WinForms
| Repository | Description |
|---|---|
| eevorg2dsr | Python 2D cellular automata with PyTorch, VGG perceptual loss, Real-ESRGAN super-resolution |
| EevorgApi | .NET 8 Aspire REST API for eevorg generation and selection |
- ESRGAN: Super-resolution models in ONNX format (pinned on Pinata)
- VAE: AlexNet-based VAE trained on eevorg with 128 latent dimensions
- Perceptual Search: Novel eevorg discovery by maximizing perceptual distance
- CycleGAN: Style transfer experiments
Eevorg can be 3D printed as bas relief with color. Support removal is challenging for complex specimens.
- 578 historical eevorg specimens (1991-present) in various DAT formats
- Colab notebooks for TensorFlow generative models
- Google Sheets integration for trials/experiments