GeneticAlgorithmPython
deep_learning_and_the_game_of_go
GeneticAlgorithmPython | deep_learning_and_the_game_of_go | |
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17 | 3 | |
1,717 | 929 | |
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8.6 | 0.0 | |
19 days ago | over 1 year ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | - |
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GeneticAlgorithmPython
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PyGAD 3.0.0 Released! A Python Library for Building the Genetic Algorithm and Training Machine Learning Algorithms (Supports Keras and PyTorch)
Docs: https://pygad.readthedocs.io
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Inheritance Mechanics for Creature Generation
Depending on how complex you want this system, you could look at how live stock breeding is modelled. For example https://github.com/ahmedfgad/GeneticAlgorithmPython
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PyGAD: selection, crossover, mutation
PyGAD is
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[D] Shape Generation Algorithm
My pleasure! I'm assuming you're working in Python, so this repo looks like it could be promising (disclaimer: I haven't used it).
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PyGAD 2.16.1 Released: An open-source Python library for building the genetic algorithm and optimizing machine learning models.
The user can use the tqdm library to show a progress bar. https://github.com/ahmedfgad/GeneticAlgorithmPython/discussions/50
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[D] Scipy(Python) or MATLAB for undergraduate project?
Thanks for mentioning PyGAD. OP Please reach out in case any help is needed to get started with PyGAD: https://pygad.readthedocs.io
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PyGAD 2.14.1 Released! An Open-Source Python 3 Library for Building the Genetic Algorithm and Training Machine Learning Algorithms (Keras and PyTorch)
PyGAD is an open-sources Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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PyGAD (Genetic Algorithm) Plays Flappy Bird
You can find more in the documentation: https://pygad.readthedocs.io
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Data Clustering Using the PyGAD (Genetic Algorithm)
The code examples in this r/Paperspace tutorial are implemented in Python using the PyGAD library.
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PyGAD (Genetic Algorithm) Plays a Complex Level of the CoinTex Game
PyGAD, a Python library for building the genetic algorithm, played CoinTex and was able to pass a complex level with 2 monsters moving randomly and some thrown fires.
deep_learning_and_the_game_of_go
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Training an AI for Tigris and Euphrates
A good book I found is https://www.manning.com/books/deep-learning-and-the-game-of-go
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Why do engines often evaluate completely winning endgame positions between +60 and +63? What's significant about the low 60's as an evaluation? Or is it just a placeholder when the computer can't quite find a forced mate?
If you want to understand how the new approach used by Leela Zero and Alpha Zero works, the book Deep Learning and the Game of Go is fun and easy to read. Although it's about Go rather than chess, most of the contents are equally relevant to chess.
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[Q] Deep Learning and the Game of Go - anyone got the code to work?
One of the first hits pointed me to this github repo: https://github.com/maxpumperla/deep_learning_and_the_game_of_go
What are some alternatives?
PySR - High-Performance Symbolic Regression in Python and Julia
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
pyneat - NEAT: NeuroEvolution of Augmenting Topologies
deepxde - A library for scientific machine learning and physics-informed learning
genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.
uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.
FlappyBirdPyGAD - Play the Flappy Bird Game using PyGAD (Genetic Algorithm)
pycox - Survival analysis with PyTorch
Keras - Deep Learning for humans
8QueensGenetic - Optimizing the 8 Queens Puzzle using the Genetic Algorithm (PyGAD).
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python