Sklearn-genetic-opt VS FEDOT

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

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

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 FEDOT
6 4
271 605
- 1.7%
4.6 8.4
6 days ago 9 days ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
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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.

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

What are some alternatives?

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

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

LightAutoML - LAMA - automatic model creation framework

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

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

evalml - EvalML is an AutoML library written in python.

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

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

de-torch - Minimal PyTorch Library for Differential Evolution

tune - An abstraction layer for parameter tuning

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.

arja - Multi-Objective GP for Automated Repair of Java

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