#Automated-machine-learning
Showing 41 of 41 repositories tagged #automated-machine-learning, ranked by stars
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Fast and Accurate ML in 3 Lines of Code
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
AutoML library for deep learning
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.
Fast and customizable framework for automatic ML model creation (AutoML)
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
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.
Curated list of AutoResearch use cases with optimization traces and open source implementations
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
A unified interface for optimization algorithms and experiments
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Efficient Learning of Augmentation Policy Schedules
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Library for Semi-Automated Data Science
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An automatic ML model optimization tool.
AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
An open source python library for automated feature engineering based on Genetic Programming
Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
An open source python library for automated prediction engineering
A lightweight and visual AutoML system
This repository includes code for the paper "Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection" accepted in AutonomousCyber, ACM CCS, 2024.
[ICLR 25 Spotlight] A testbed for agents and environments that can automatically improve models through data generation.
🧙♂️ Zero-Code Machine Learning Wizard - Transform ideas into intelligent solutions without writing code. AI-powered ML pipeline automation with interactive web interface.