Pytorch Neat
A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Evotorch | 941 |  | 1 | 3 months ago | 9 | November 02, 2023 | 13 | apache-2.0 | Python | |
| Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE. | ||||||||||
| Pytorch Neat | 387 | 4 years ago | 8 | apache-2.0 | Python | |||||
| Pytorch Neat | 80 | 2 years ago | 4 | mit | Python | |||||
| A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm | ||||||||||
| Galapagos_nao | 20 | 6 years ago | 12 | mit | Elixir | |||||
| A playground for continual, interactive neuroevolution | ||||||||||
| Es_pytorch | 20 | 2 years ago | 7 | Python | ||||||
| High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters | ||||||||||
| Codeepneat | 19 | 3 years ago | mit | Python | ||||||
| An implementation of CoDeepNEAT using pytorch with extensions | ||||||||||
| Coegan | 9 | 3 years ago | Python | |||||||
| Code used in the experiments of the paper COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks http://gecco-2019.sigevo.org | ||||||||||
| Ga World Models | 6 | 5 years ago | 1 | mit | Python | |||||
| Distributed Evolutionary Ml | 5 | 5 years ago | 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). | ||||||||||
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