DeepHyperNEAT

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

artificial-intelligence

View on GitHub

36 Stars

11 Forks

36 Watchers

Python Language

apache-2.0 License

Cost to Build

$64.0K

Market Value

$85.7K

How is this calculated?

Growth over time

2 data points · 2021-08-07 → 2021-11-21

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about DeepHyperNEAT

Question copied to clipboard

What is the flxsosa/DeepHyperNEAT GitHub project? Description: "A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone DeepHyperNEAT

Clone via HTTPS

git clone https://github.com/flxsosa/DeepHyperNEAT.git

Clone via SSH

[email protected]:flxsosa/DeepHyperNEAT.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the DeepHyperNEAT issue tracker:

Open GitHub Issues

Similar to DeepHyperNEAT

deeplearning4j machine-learning-for-software-engineers incubator-mxnet spaCy cheatsheets-ai gun php-ml TensorLayer awesome-artificial-intelligence AlgoWiki papers-I-read kong EmojiIntelligence PyGame-Learning-Environment deep-trading-agent caffe2 AirSim pipeline diffbot-php-client mycroft-core iOS_ML warriorjs nd4j incubator-kie-optaplanner ML-for-High-Schoolers Dragonfire auto_ml gophernotes deeplearning4j-examples DeepPavlov