| openai/evolution-strategies-starter |
1,253 |
|
0 |
0 |
over 6 years ago |
0 |
|
14 |
mit |
Python |
| Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" |
| giuse/DNE |
122 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
mit |
Ruby |
| A set of neuroevolution experiments with/towards deep networks |
| etsy/Evokit |
57 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
other |
Rust |
| opetchey/RREEBES |
44 |
|
0 |
0 |
over 5 years ago |
0 |
|
9 |
|
HTML |
| Reproducible Research in Ecology, Evolution, Behaviour, and Environmental Studies |
| facebookresearch/foltr-es |
33 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
other |
Jupyter Notebook |
| The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published at WSDM 2019. |
| sash-a/CoDeepNEAT |
19 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Python |
| An implementation of CoDeepNEAT using pytorch with extensions |
| jan-rybizki/Chempy |
19 |
|
0 |
0 |
over 4 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| Start with the Chempy tutorial |
| 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 |
| jhejna/morphology-opt |
14 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
Python |
| Code for the paper Task Agnostic Morphology Evolution. |
