Sklearn-genetic-opt
de-torch
| Sklearn-genetic-opt | de-torch | |
|---|---|---|
| 6 | 1 | |
| 271 | 6 | |
| - | - | |
| 4.6 | 4.4 | |
| 6 days ago | over 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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Sklearn-genetic-opt
- GitHub - rodrigo-arenas/Sklearn-genetic-opt: Hyperparameters tuning and feature selection, using evolutionary algorithms.
- New Python AutoML Package
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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
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Looking for open source contributors: AutoML
Here is the repo: https://github.com/rodrigo-arenas/Sklearn-genetic-opt
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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
de-torch
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[P] A Simple PyTorch Differential Evolution Library for Gym Environments
Project repository: https://github.com/goktug97/de-torch/
What are some alternatives?
genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Hypernets - A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
evalml - EvalML is an AutoML library written in python.
FEDOT - Automated modeling and machine learning framework FEDOT
sklearn-deap - Use evolutionary algorithms instead of gridsearch in scikit-learn
evotorch - Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
nes-torch - Minimal PyTorch Library for Natural Evolution Strategies