zoofs VS deeplearning

Compare zoofs vs deeplearning and see what are their differences.

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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deeplearning

By rapidsai
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zoofs deeplearning
4 1
236 336
- 0.6%
0.0 3.9
5 months ago almost 3 years ago
Python Jupyter Notebook
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.
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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.

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.

deeplearning

Posts with mentions or reviews of deeplearning. 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 zoofs and deeplearning you can also consider the following projects:

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)

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.

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

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

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

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

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

PSOClustering - This is an implementation of clustering IRIS dataset with particle swarm optimization(PSO)

RocketLander - A simple framework equipped with optimization algorithms, such as reinforcement learning, evolution strategies, genetic optimization, and simulated annealing, to enable an orbital rocket booster to land autonomously.

ai-for-cross-stitching - This project aims to find the shortest path for cross stitching for each colour in a patten.

zoofs vs scikit-opt deeplearning vs NitroFE zoofs vs biteopt zoofs vs Sklearn-genetic-opt zoofs vs GARI zoofs vs Parameterize.Net zoofs vs NitroFE zoofs vs TorchGA zoofs vs GeneticAlgorithmPython zoofs vs PSOClustering zoofs vs RocketLander zoofs vs ai-for-cross-stitching