An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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Updated
Jun 1, 2024 - Python
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Fast and Accurate ML in 3 Lines of Code
An open source python library for automated feature engineering
Fast and customizable framework for automatic ML model creation (AutoML)
This automated anomaly detection preprocessing pipeline can be used to automatically preprocess tabular data for anomaly detection methods.
Automated modeling and machine learning framework FEDOT
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A collection of Python coded analysis and automation of risk mitigation strategies in portfolio management.
MLimputer: Missing Data Imputation Framework for Supervised Machine Learning
An open source python library for automated prediction engineering
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Generative AutoML for Tabular Data
Library for Semi-Automated Data Science
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
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