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Top 23 Python genetic-algorithm Projects
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ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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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)
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GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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zoofs
zoofs 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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GARI
GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
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GnomansLand
An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.
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ai-for-cross-stitching
This project aims to find the shortest path for cross stitching for each colour in a patten.
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mquery
Algotrading toolkit using customizable strategies, genetic algorithms, and RNN-based strategies
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SaaSHub
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Project mention: Potential of the Julia programming language for high energy physics computing | news.ycombinator.com | 2023-12-04> Yes, julia can be called from other languages rather easily
This seems false to me. StaticCompiler.jl [1] puts in their limitations that "GC-tracked allocations and global variables do not work with compile_executable or compile_shlib. This has some interesting consequences, including that all functions within the function you want to compile must either be inlined or return only native types (otherwise Julia would have to allocate a place to put the results, which will fail)." PackageCompiler.jl [2] has the same limitations if I'm not mistaken. So then you have to fall back to distributing the Julia "binary" with a full Julia runtime, which is pretty heavy. There are some packages which do this. For example, PySR [3] does this.
There is some word going around though that there is an even better static compiler in the making, but as long as that one is not publicly available I'd say that Julia cannot easily be called from other languages.
[1]: https://github.com/tshort/StaticCompiler.jl
[2]: https://github.com/JuliaLang/PackageCompiler.jl
[3]: https://github.com/MilesCranmer/PySR
Python genetic-algorithm related posts
- PyGAD 3.0.0 Released! A Python Library for Building the Genetic Algorithm and Training Machine Learning Algorithms (Supports Keras and PyTorch)
- I want to make an ai that plays games. I was wondering which programming language to use and resources to start from. Thanks in advance!
- Optiseek - a collection of single-objective optimization algorithms for multi-dimensional functions with a uniform format
- Do you think Gaming can teach us about Human Behavior?
- GnomansLand - The Reinforcement Learning Simulation Game built in Python
- Inheritance Mechanics for Creature Generation
- PyGAD: selection, crossover, mutation
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Index
What are some of the best open-source genetic-algorithm projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | ML-From-Scratch | 23,131 |
2 | scikit-opt | 4,920 |
3 | eiten | 2,655 |
4 | PySR | 1,850 |
5 | GeneticAlgorithmPython | 1,707 |
6 | gaps | 704 |
7 | zoofs | 236 |
8 | tiny_gp | 91 |
9 | super-mario-neat | 90 |
10 | TorchGA | 86 |
11 | geneal | 60 |
12 | GARI | 49 |
13 | fliscopt | 39 |
14 | Finch | 32 |
15 | icyAI | 30 |
16 | CreepyCrawlAI | 18 |
17 | 8QueensGenetic | 17 |
18 | PyGenetic | 16 |
19 | GnomansLand | 16 |
20 | simple-es | 14 |
21 | ai-for-cross-stitching | 14 |
22 | pendulum_NN | 9 |
23 | mquery | 6 |
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