super-mario-neat
Flappy-Bird-NN
super-mario-neat | Flappy-Bird-NN | |
---|---|---|
2 | 1 | |
94 | 44 | |
- | - | |
1.8 | 5.1 | |
almost 2 years ago | over 3 years ago | |
Python | Kotlin | |
MIT License | - |
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super-mario-neat
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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
Flappy-Bird-NN
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I taught a multi layer perceptron to play flappy bird with pure Java
The project's link: https://github.com/longuyen97/Flappy-Bird-NN
What are some alternatives?
pyneat - NEAT: NeuroEvolution of Augmenting Topologies
Genann - simple neural network library in ANSI C
gym-super-mario - Gym - 32 levels of original Super Mario Bros
rust-flappy-bird-ai - AI learns to play flappy bird using neuro-evolution, implemented in Rust using macroquad
gym-super-mario-bros - An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
flappy-bird-AI - Similar flappy bird design to the previous repo, but this time, a non supervised genetic algorithm is used to train a neural network to play the game
goNEAT - The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
Neural-Network-Visualization - Animation and visualization with feedforward network [Moved to: https://github.com/longmakesstuff/Neural-Network-Visualization]
nes-py - A Python3 NES emulator and OpenAI Gym interface
neural-flappy-bird - A neural network learns to play Flappy Bird
neat-python - Python implementation of the NEAT neuroevolution algorithm
SimpleDNN - SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks