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20 search results found

Evotorch ⭐ 941

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

Sharpneat ⭐ 357

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

A bare-bones Python library for quality diversity optimization.

Gpflappybird ⭐ 110

Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)

Distributedevolutionarycomputation ⭐ 84

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.

Push Genetic Programming in Python.

Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)

Deephyperneat ⭐ 39

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report1

Synthetic ⭐ 37

Symbolic Generators for Complex Networks

Ec A Modern Perspective ⭐ 33

Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now.

Applied Machine Learning Course ⭐ 28

This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.

Harris Hawks Optimization Algorithm And Applications ⭐ 25

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/ In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

Evolp.jl ⭐ 23

A playground for evolutionary computation in Julia

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.

Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"

Evolutionary.net ⭐ 10

Genetic Programming Engine designed for .NET

Evolutionaryselfreplication ⭐ 9

Produce intelligence by means of natural selection without objective/reward optimization

Duelist Algorithm Python ⭐ 7

A Python implementation of the paper "Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel" https://arxiv.org/abs/1512.00708

Inveniemus.js ⭐ 6

A search and optimization library, focusing on metaheuristics.

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