TorchGA VS GeneticAlgorithmPython

Compare TorchGA vs GeneticAlgorithmPython and see what are their differences.

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TorchGA GeneticAlgorithmPython
3 17
86 1,717
- -
4.3 8.6
11 months ago 18 days ago
Python Python
- BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TorchGA

Posts with mentions or reviews of TorchGA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-12.

GeneticAlgorithmPython

Posts with mentions or reviews of GeneticAlgorithmPython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-09.

What are some alternatives?

When comparing TorchGA and GeneticAlgorithmPython you can also consider the following projects:

koila - Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

PySR - High-Performance Symbolic Regression in Python and Julia

de-torch - Minimal PyTorch Library for Differential Evolution

pyneat - NEAT: NeuroEvolution of Augmenting Topologies

genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.

snntorch - Deep and online learning with spiking neural networks in Python

deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"

bittensor - Internet-scale Neural Networks

FlappyBirdPyGAD - Play the Flappy Bird Game using PyGAD (Genetic Algorithm)

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

pycox - Survival analysis with PyTorch