Trending repositories for topic automated-machine-learning

Fast and Accurate ML in 3 Lines of Code

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

AutoML library for deep learning

Automated Machine Learning with scikit-learn

LAMA - automatic model creation framework

Fast and customizable framework for automatic ML model creation (AutoML)

MLBox is a powerful Automated Machine Learning python library.

Official Implementation of 'Fast AutoAugment' in PyTorch.

LAMA - automatic model creation framework

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

Fast and Accurate ML in 3 Lines of Code

Fast and customizable framework for automatic ML model creation (AutoML)

MLBox is a powerful Automated Machine Learning python library.

Official Implementation of 'Fast AutoAugment' in PyTorch.

AutoML library for deep learning

Automated Machine Learning with scikit-learn

Fast and Accurate ML in 3 Lines of Code

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

AutoML library for deep learning

Automated Machine Learning with scikit-learn

LAMA - automatic model creation framework

Fast and customizable framework for automatic ML model creation (AutoML)

MLBox is a powerful Automated Machine Learning python library.

Official Implementation of 'Fast AutoAugment' in PyTorch.

LAMA - automatic model creation framework

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

Fast and Accurate ML in 3 Lines of Code

Fast and customizable framework for automatic ML model creation (AutoML)

MLBox is a powerful Automated Machine Learning python library.

Official Implementation of 'Fast AutoAugment' in PyTorch.

AutoML library for deep learning

Automated Machine Learning with scikit-learn

Fast and Accurate ML in 3 Lines of Code

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

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

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

An open source python library for automated feature engineering

Automated Machine Learning with scikit-learn

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

AutoML library for deep learning

Fast and customizable framework for automatic ML model creation (AutoML)

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

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

Automated modeling and machine learning framework FEDOT

LAMA - automatic model creation framework

MLBox is a powerful Automated Machine Learning python library.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Fast and Accurate ML in 3 Lines of Code

AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!

Fast and customizable framework for automatic ML model creation (AutoML)

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Automated modeling and machine learning framework FEDOT

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

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

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated D...

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

LAMA - automatic model creation framework

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

An open source python library for automated feature engineering based on Genetic Programming

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

An open source python library for automated feature engineering

MLBox is a powerful Automated Machine Learning python library.

Fast and Accurate ML in 3 Lines of Code

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

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

Fast and customizable framework for automatic ML model creation (AutoML)

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Automated Machine Learning with scikit-learn

An open source python library for automated feature engineering

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

AutoML library for deep learning

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Automated modeling and machine learning framework FEDOT

LAMA - automatic model creation framework

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Generative AutoML for Tabular Data

MLBox is a powerful Automated Machine Learning python library.

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Fast and customizable framework for automatic ML model creation (AutoML)

[WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"

An open source python library for automated feature engineering based on Genetic Programming

AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!

Fast and Accurate ML in 3 Lines of Code

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated D...

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

collecting related resources of automated machine learning here

Automated modeling and machine learning framework FEDOT

Generative AutoML for Tabular Data

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

A lightweight and visual AutoML system