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Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
Generate high-quality triangulated and polygonal art from images.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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.
A curated list of awesome model based RL resources (continually updated)
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Library for Model Based RL
Distributed High-Performance Symbolic Regression in Julia
Automated modeling and machine learning framework FEDOT
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).