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[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Generate high-quality triangulated and polygonal art from images.
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
A PyTorch Library for Multi-Task Learning
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Ergonomic machine learning for everyone.
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
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.