neat-python VS pyneat

Compare neat-python vs pyneat and see what are their differences.

neat-python

Python implementation of the NEAT neuroevolution algorithm (by CodeReclaimers)
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neat-python pyneat
3 1
1,355 2
- -
0.0 1.8
9 months ago almost 3 years 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.

neat-python

Posts with mentions or reviews of neat-python. 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 neat-python and pyneat you can also consider the following projects:

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

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

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

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

es_pytorch - High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters

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

system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.