NitroFE VS zoofs

Compare NitroFE vs zoofs and see what are their differences.

NitroFE

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation. (by NITRO-AI)
feature-engineering Machine Learning Feature Features time-series Timeseries indicators Indicator
Source Code
nitro-ai.github.io
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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. (by jaswinder9051998)
Machine Learning Python evolutionary-algorithms genetic-algorithm feature-selection particle-swarm-optimization particle-swarm grey-wolf-optimizer grey-wolf supervised-learning machine-learning-algorithms Machinelearning Optimization optimization-algorithms optimization-methods optimization-tools subset-selection
Source Code
jaswinder9051998.github.io
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NitroFE zoofs
1 4
106 236
- -
0.0 0.0
almost 2 years ago 5 months ago
Python Python
Apache License 2.0 Apache License 2.0
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.

NitroFE

Posts with mentions or reviews of NitroFE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-27.

zoofs

Posts with mentions or reviews of zoofs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-27.

What are some alternatives?

When comparing NitroFE and zoofs you can also consider the following projects:

upgini - Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

scikit-opt - Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

deeplearning

biteopt - Derivative-Free Global Optimization Method (C++, Python binding)

lambdo - Feature engineering and machine learning: together at last!

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

neural_prophet - NeuralProphet: A simple forecasting package

Parameterize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array.

feast - Feature Store for Machine Learning

GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

NitroFE vs upgini zoofs vs scikit-opt NitroFE vs deeplearning zoofs vs biteopt NitroFE vs lambdo zoofs vs Sklearn-genetic-opt NitroFE vs neural_prophet zoofs vs Parameterize.Net NitroFE vs feast zoofs vs GARI zoofs vs deeplearning zoofs vs TorchGA