FEDOT VS Sklearn-genetic-opt

Compare FEDOT vs Sklearn-genetic-opt and see what are their differences.

FEDOT

Automated modeling and machine learning framework FEDOT (by aimclub)
Automl Machine Learning evolutionary-algorithms genetic-programming structural-learning automated-machine-learning hyperparameter-optimization parameter-tuning Automation multimodality fedot
Source Code
fedot.readthedocs.io
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Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms. (by rodrigo-arenas)
Python scikit-learn Machine Learning Artificial intelligence Hyperparameters deap looking-for-contributors model-selection hyperparameter-optimization Automl begginer-friendly evolutionary-algorithms contributions-welcome help-wanted good-first-issue goodfirstissue Sklearn up-for-grabs featureselection feature-selection
Source Code
sklearn-genetic-opt.readthedocs.io
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FEDOT Sklearn-genetic-opt
4 6
605 271
2.3% -
8.4 4.6
8 days ago 5 days ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
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.

FEDOT

Posts with mentions or reviews of FEDOT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-17.
  • Winning a Flood-Forecasting Hackathon with Hydrology and AutoML
    1 project | /r/hackathon | 14 Jan 2022
    Hi to everyone! I am a developer of the FEDOT framework, and our team and I (NSS_lab team) recently won a hackathon EmergencyDataHack (rus). There was a recent post on TowardsDataSciense based on our competition things: Winning a Flood-Forecasting Hackathon with Hydrology and AutoML.
  • [P] FEDOT - AutoML framework for composite pipelines
    1 project | /r/MachineLearning | 10 Jul 2021
    Hi! I want to discuss the academic project FEDOT (https://github.com/nccr-itmo/FEDOT) that is devoted to the evolutionary AutoML for composite pipelines. I am one of the developers of this framework and hope to obtain some feedback on this solution and share our experience.
  • The experience of the AutoML application in hackathons
    2 projects | /r/hackathon | 17 Jun 2021
    ITMO University's Natural Systems Simulation Lab is integrating hackathons into education and research. One of its first results is an application of the AutoML framework called FEDOT that allows obtaining the result that impressed the expert board and brought the lab’s team a victory at a river flood forecasting hackathon organized by the Ministry of Emergency Situations. The final model is hybrid and combined several data-driven models and equation-based domain-specific models.
  • FEDOT framework for evolutionary design of composite pipelines
    1 project | /r/AutoML | 3 Jun 2021
    Hi all! I am a member of the academic AI/ML research team. I want to share the information about the development of the open-source AutoML tool for the design of composite ML pipelines using an evolutionary approach. It called FEDOT and available in the https://github.com/nccr-itmo/FEDOT

Sklearn-genetic-opt

Posts with mentions or reviews of Sklearn-genetic-opt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-02.

What are some alternatives?

When comparing FEDOT and Sklearn-genetic-opt you can also consider the following projects:

LightAutoML - LAMA - automatic model creation framework

genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

auto-drive - A machine learning AI in Python trained to play my car game.

evalml - EvalML is an AutoML library written in python.

de-torch - Minimal PyTorch Library for Differential Evolution

sklearn-deap - Use evolutionary algorithms instead of gridsearch in scikit-learn

tune - An abstraction layer for parameter tuning

arja - Multi-Objective GP for Automated Repair of Java

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 vs LightAutoML Sklearn-genetic-opt vs genetic-algorithm-in-python FEDOT vs FLAML Sklearn-genetic-opt vs nni FEDOT vs auto-drive Sklearn-genetic-opt vs evalml FEDOT vs de-torch Sklearn-genetic-opt vs sklearn-deap FEDOT vs tune Sklearn-genetic-opt vs de-torch FEDOT vs arja Sklearn-genetic-opt vs Ray