GARI VS pyneat

Compare GARI vs pyneat and see what are their differences.

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GARI pyneat
1 1
49 2
- -
1.1 1.8
about 1 year ago almost 3 years ago
Python Python
MIT 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.

GARI

Posts with mentions or reviews of GARI. We have used some of these posts to build our list of alternatives and similar projects.

pyneat

Posts with mentions or reviews of pyneat. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing GARI and pyneat you can also consider the following projects:

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

GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

FotoKilof - GUI for ImageMagick and Wand

pureples - Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.

image-match - 🎇 Quickly search over billions of images

super-mario-neat - This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

gaps - A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone:

Dino-Game-AI - A simple pygame dino game which can also be trained and played by a NEAT AI

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

ur_openai_gym - OpenAI Gym interface for Universal Robots with ROS Gazebo

geneal - A genetic algorithm implementation in python

neat-python - Python implementation of the NEAT neuroevolution algorithm