| giuse/DNE |
122 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
mit |
Ruby |
| A set of neuroevolution experiments with/towards deep networks |
| sash-a/CoDeepNEAT |
19 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Python |
| An implementation of CoDeepNEAT using pytorch with extensions |
| shashankkotyan/RobustArchitectureSearch |
18 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
Python |
| This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks" |
| alenaksu/neatjs |
17 |
|
0 |
2 |
almost 5 years ago |
2 |
January 21, 2020 |
0 |
gpl-3.0 |
JavaScript |
| NEAT (Neuro Evolution of Augmenting Topologies) implementation in JavaScript |
| Hellisotherpeople/Python-Cooperative-Synapse-NeuroEvolution |
11 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A Python implementation of the "CoSyne" algorithim, as described in this paper: https://pdfs.semanticscholar.org/966e/41903b4aff42601a188bd7b26d71ef120d11.pdf |
| vfcosta/coegan |
9 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| Code used in the experiments of the paper COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks http://gecco-2019.sigevo.org |
