| GitHub-HongweiZhang/prediction-flow |
136 |
|
0 |
0 |
about 5 years ago |
5 |
March 11, 2021 |
1 |
mit |
Python |
| Deep-Learning based CTR models implemented by PyTorch |
| leehomyc/mixup_pytorch |
104 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Python |
| A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch |
| kimhc6028/pathnet-pytorch |
60 |
|
0 |
0 |
over 8 years ago |
0 |
|
3 |
bsd-3-clause |
Python |
| PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks |
| ShangtongZhang/DistributedES |
56 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Distributed implementation of popular evolutionary methods |
| fidler-lab/delse |
38 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
gpl-3.0 |
|
| PyTorch code for Deep Extreme Level Set Evolution (CVPR 2019) |
| jeffreyksmithjr/galapagos_nao |
20 |
|
0 |
0 |
almost 8 years ago |
0 |
|
12 |
mit |
Elixir |
| A playground for continual, interactive neuroevolution |
| sash-a/CoDeepNEAT |
19 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Python |
| An implementation of CoDeepNEAT using pytorch with extensions |
| karush17/Evolution-Strategies-PyTorch |
12 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| Implementation of OpenAI's Evolution Strategies in PyTorch. |
| Zeta36/pytorch-es-tic-tac-toe |
11 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
mit |
Python |
| Evolution Strategies in PyTorch (Tic-tac-toe) |
| JorgeCeja/evolution-strategies |
8 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Python |
| 🤖Distributed Natural Evolution Strategies Build with PyTorch and Ray |
