super-mario-neat
neat-python
super-mario-neat | neat-python | |
---|---|---|
2 | 3 | |
94 | 1,355 | |
- | - | |
1.8 | 0.0 | |
almost 2 years ago | 9 months ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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.
super-mario-neat
-
SNES A.I. Using NEAT
After a bit of spelunking through Google, I found this Neat AI on SNES Mario: https://github.com/vivek3141/super-mario-neat
- AI Mario plays SNES
neat-python
-
NEAT AI not learning as expected
Could you not create a XOR or other algebraic test ? If you can train it to these simple functions, then the algorithm (your code) works https://github.com/CodeReclaimers/neat-python/blob/master/tests/test_xor_example.py.
-
Unable to run basic example script for python package. help appreciated!
> git clone https://github.com/CodeReclaimers/neat-python.git > pip install graphviz (because I didn't already have this package) > python .\examples\xor\evolve-feedforward.py
-
Bug or intentional: neat-python implementation vs the original NEAT paper
I've been working on my own NEAT implementation to better understand the algorithm and I noticed a difference in implementation between what the paper lays out and the neat-python implementation found here.
What are some alternatives?
pyneat - NEAT: NeuroEvolution of Augmenting Topologies
pureples - Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
gym-super-mario - Gym - 32 levels of original Super Mario Bros
gym-super-mario-bros - An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
goNEAT - The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
es_pytorch - High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
nes-py - A Python3 NES emulator and OpenAI Gym interface
system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
TheAlgorithms - All Algorithms implemented in Python