GeneticsJSEvolutionary algorithms library for the web 🧬
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Evolutionary Computation CourseJupyter/IPython notebooks about evolutionary computation.
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Evolutionary.jlEvolutionary & genetic algorithms for Julia
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Eaopt🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
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gogaGo evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).
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NEATESTNEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
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neuroevolution-robotsNeuroevolution demo through TensorFlow.js, Neataptic, and Box2D
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JeneticsJenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization
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Pagmo2A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
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EvolutionsimulatorEvolution Simulator with Box2D
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BluepyoptBlue Brain Python Optimisation Library
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TorchGATrain PyTorch Models using the Genetic Algorithm with PyGAD
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evoliGenetic Algorithm and Particle Swarm Optimization
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zoofszoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
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tiny gpTiny Genetic Programming in Python
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geneticalgorithm2Supported highly optimized and flexible genetic algorithm package for python
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GARIGARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
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GeneticalgorithmpythonSource code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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Applying eannsA 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.
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