| nnaisense/evotorch |
941 |
|
0 |
1 |
over 2 years ago |
9 |
November 02, 2023 |
13 |
apache-2.0 |
Python |
| Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE. |
| uber-research/PyTorch-NEAT |
387 |
|
0 |
0 |
over 6 years ago |
0 |
|
8 |
apache-2.0 |
Python |
| ddehueck/pytorch-neat |
80 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
mit |
Python |
| A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm |
| sash-a/es_pytorch |
20 |
|
0 |
0 |
over 4 years ago |
0 |
|
7 |
|
Python |
| High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters |
| jeffreyksmithjr/galapagos_nao |
20 |
|
0 |
0 |
about 8 years ago |
0 |
|
12 |
mit |
Elixir |
| A playground for continual, interactive neuroevolution |
| sash-a/CoDeepNEAT |
19 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Python |
| An implementation of CoDeepNEAT using pytorch with extensions |
| 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 |
| sebastianrisi/ga-world-models |
6 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
mit |
Python |
| IBM/distributed-evolutionary-ml |
5 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| A tool for experimenting with evolutionary optimization methods for machine learning algorithms, by distributing the workload over a large number of compute nodes on the IBM Cloud. For now, it only includes an implementation of [Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning](https://arxiv.org/abs/1712.06567). |
