Nature-Inspired-Image-Enhancement

Generate high-quality triangulated and polygonal art from images.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

This is a resouce list for low light image enhancement

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

Distributed High-Performance Symbolic Regression in Julia

Automated modeling and machine learning framework FEDOT

Contrast Enhancement Techniques for low-light images

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement