| nnaisense/evotorch |
941 |
|
0 |
1 |
about 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. |
| AgileRL/AgileRL |
457 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Streamlining reinforcement learning with RLOps |
| ahmedfgad/TorchGA |
78 |
|
0 |
0 |
almost 3 years ago |
0 |
|
3 |
|
Python |
| Train PyTorch Models using the Genetic Algorithm with PyGAD |
| ShangtongZhang/DistributedES |
56 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Distributed implementation of popular evolutionary methods |
| sg-nm/cgp-cnn |
55 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
mit |
Python |
| A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award) |
| sg-nm/Evolutionary-Autoencoders |
53 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
mit |
Python |
| Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018) |
| LondonNode/Pearl |
27 |
|
0 |
0 |
almost 4 years ago |
0 |
|
4 |
mit |
Python |
| Adaptable tools to make reinforcement learning and evolutionary computation algorithms. |
| sg-nm/cgp-cnn-PyTorch |
27 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
Python |
| A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award) |
| sshkhr/Practical_RL |
24 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
unlicense |
Jupyter Notebook |
| My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow |
| jinPrelude/simple-es |
9 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Simple implementations of multi-agent evolutionary strategies using pytorch. |
