geneal
tiny_gp
geneal | tiny_gp | |
---|---|---|
1 | 1 | |
61 | 91 | |
- | - | |
5.7 | 1.1 | |
about 1 month ago | about 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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geneal
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Any libraries for generic automatic parameter searching?
I literally just used this super simple library and it worked: https://github.com/diogomatoschaves/geneal
tiny_gp
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TinyGP in Golang
Im quite new to golang and as an exercise i rewrote some python code to a golang. The project is a simple implementation of genetic programming. I wanted it to be as close as possible to be a 1:1 copy but with practices used in golang. I did not run profiler and did not any optimization, im currently more concerned about styling/structuring/good practices with projects in go.
What are some alternatives?
deap - Distributed Evolutionary Algorithms in Python
DIgging - Decision Intelligence for digging best parameters in target environment.
GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
GP-CNAS - Implementation example of GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming
evotorch - Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
8QueensGenetic - Optimizing the 8 Queens Puzzle using the Genetic Algorithm (PyGAD).
tinygp - Tiny Genetic Programming in Golang
scikit-opt - Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
pyshgp - Push Genetic Programming in Python.
Parametrize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array. [Moved to: https://github.com/PasoUnleashed/Parameterize.Net]
darwinio - Evolution Simulator