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Top 23 genetic-algorithm Open-Source 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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GeneticSharp
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
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gago
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
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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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Operon
Modern C++ framework for symbolic regression that uses genetic programming to explore a hypothesis space of possible mathematical expression.
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Project mention: The Current State of Clojure's Machine Learning Ecosystem | news.ycombinator.com | 2024-04-07> I don't think it's right to recommend that new users move away from the package because of licensing issues
I was going to chime in to agree but then I saw how this was done - a completely innocuous looking commit:
https://github.com/haifengl/smile/commit/6f22097b233a3436519...
And literally no mention in the release notes:
https://github.com/haifengl/smile/releases/tag/v3.0.0
I think if you are going to change license especially in a way that makes it less permissive you need to be super open and clear about both the fact you are doing it and your reasons for that. This is done so silently as to look like it is intentionally trying to mislead and trick people.
So maybe I wouldn't say to move away because of the specific license, but it's legitimate to avoid something when it's so clearly driven by a single entity and that entity acts in a way that isn't trustworthy.
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
Project mention: Symbolicregression.jl – High-Performance Symbolic Regression in Julia and Python | news.ycombinator.com | 2023-07-15
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
genetic-algorithm related posts
- Simple neural network library in ANSI C
- AI learns to play flappy bird (code in comments)
- PyGAD 3.0.0 Released! A Python Library for Building the Genetic Algorithm and Training Machine Learning Algorithms (Supports Keras and PyTorch)
- Genann: Simple neural network library in ANSI C
- Genetic Algorithms in PHP
- Genetic algorithm for image recognition, identification, classification
- 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!
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Index
What are some of the best open-source genetic-algorithm projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | ML-From-Scratch | 23,164 |
| 2 | Smile | 5,924 |
| 3 | scikit-opt | 4,920 |
| 4 | triangula | 3,836 |
| 5 | eiten | 2,694 |
| 6 | Genann | 1,905 |
| 7 | PySR | 1,882 |
| 8 | GeneticAlgorithmPython | 1,717 |
| 9 | GeneticSharp | 1,219 |
| 10 | gago | 869 |
| 11 | self-parking-car-evolution | 710 |
| 12 | gaps | 705 |
| 13 | SymbolicRegression.jl | 526 |
| 14 | binlex | 384 |
| 15 | Evolutionary.jl | 320 |
| 16 | zoofs | 236 |
| 17 | shorelark | 187 |
| 18 | biteopt | 127 |
| 19 | mu8 | 119 |
| 20 | Operon | 119 |
| 21 | super-mario-neat | 94 |
| 22 | tiny_gp | 91 |
| 23 | TorchGA | 86 |
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