de-torch
Minimal PyTorch Library for Differential Evolution (by goktug97)
TorchGA
Train PyTorch Models using the Genetic Algorithm with PyGAD (by ahmedfgad)
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/
TorchGA
Posts with mentions or reviews of TorchGA.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-12.
- PyGAD 2.13.0 Released! A Python 3 Library for Building the Genetic Algorithm and Training Machine Learning Algorithms (Supports Keras and PyTorch)
-
Train PyTorch Models Using Genetic Algorithm with PyGAD
Link of the GitHub project that prepares the PyTorch models for use with PyGAD: https://github.com/ahmedfgad/TorchGA
The source code of the pygad.torchga module is available at the ahmedfgad/TorchGA GitHub project.
What are some alternatives?
When comparing de-torch and TorchGA you can also consider the following projects:
Hypernets - A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
koila - Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.