de-torch
Minimal PyTorch Library for Differential Evolution (by goktug97)
Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms. (by rodrigo-arenas)
| de-torch | Sklearn-genetic-opt | |
|---|---|---|
| 1 | 6 | |
| 6 | 273 | |
| - | - | |
| 4.4 | 4.6 | |
| over 2 years ago | 1 day ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
de-torch
Posts with mentions or reviews of de-torch.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[P] A Simple PyTorch Differential Evolution Library for Gym Environments
Project repository: https://github.com/goktug97/de-torch/
Sklearn-genetic-opt
Posts with mentions or reviews of Sklearn-genetic-opt.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-02.
- GitHub - rodrigo-arenas/Sklearn-genetic-opt: Hyperparameters tuning and feature selection, using evolutionary algorithms.
- New Python AutoML Package
-
Looking for contributors AutoML project in Python
The project is open for collaborators of different levels of expertise, there are some issues about new features, enchacements on docs, etc. Repo: https://github.com/rodrigo-arenas/Sklearn-genetic-opt
- I've been working on an machine learning hyperparameters tuning open source project
-
Looking for open source contributors: AutoML
Here is the repo: https://github.com/rodrigo-arenas/Sklearn-genetic-opt
-
Introducing Sklearn-genetic-opt: Hyperparameters tuning using evolutionary algorithms [project]
If you want to know more the details or contribute, you can check the Github repository
What are some alternatives?
When comparing de-torch and Sklearn-genetic-opt you can also consider the following projects:
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.