QuinesInAllLangs
Sklearn-genetic-opt
| QuinesInAllLangs | Sklearn-genetic-opt | |
|---|---|---|
| 1 | 6 | |
| 10 | 273 | |
| - | - | |
| 5.2 | 4.6 | |
| 6 months ago | 1 day ago | |
| Java | Python | |
| - | MIT License |
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QuinesInAllLangs
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Fun with Quines
In his talk, among all other things, he also mentions of quines. A quine is basically a program that prints its own source code. You can read about it all over the internet. But that's not the point, the point is do you want to write one in the programming language you are most familiar with? Do you want to challenge your expertise in your comfort language? IF yes, this is an open invite to everyone here, to contribute to the repo QuineInAllLangs where I plan to accumulate quines in all possible programming languages for learning purposes. And, hope that you learn something as well in the process of writing your own equine and contributing to this repo.
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
What are some alternatives?
genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
evalml - EvalML is an AutoML library written in python.
sklearn-deap - Use evolutionary algorithms instead of gridsearch in scikit-learn
de-torch - Minimal PyTorch Library for Differential Evolution
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.
FEDOT - Automated modeling and machine learning framework FEDOT
zoofs - zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
MachineLearningStocks - Using python and scikit-learn to make stock predictions
optuna-examples - Examples for https://github.com/optuna/optuna
powershap - A power-full Shapley feature selection method.
nyc_traffic_flask - Flask App with leaflet.js that can perform NYC Traffic Prediction