An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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Updated
Jul 3, 2024 - Python
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
AutoML library for deep learning
Fast and Accurate ML in 3 Lines of Code
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineering
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
[UNMAINTAINED] Automated machine learning for analytics & production
Official Implementation of 'Fast AutoAugment' in PyTorch.
MLBox is a powerful Automated Machine Learning python library.
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Fast and customizable framework for automatic ML model creation (AutoML)
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
LAMA - automatic model creation framework
Automated modeling and machine learning framework FEDOT
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
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