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74 search results found

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.

Autokeras ⭐ 9,067

AutoML library for deep learning

Auto Sklearn ⭐ 7,262

Automated Machine Learning with scikit-learn

Autogluon ⭐ 7,167

Fast and Accurate ML in 3 Lines of Code

Featuretools ⭐ 7,035

An open source python library for automated feature engineering

Flaml ⭐ 3,500

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

Mljar Supervised ⭐ 2,867

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

Transmogrifai ⭐ 2,099

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

Autoviz ⭐ 1,550

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

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

Mlbox ⭐ 1,403

MLBox is a powerful Automated Machine Learning python library.

Fast Autoaugment ⭐ 1,358

Official Implementation of 'Fast AutoAugment' in PyTorch.

Xcessiv ⭐ 1,232

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.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Lightautoml ⭐ 769

LAMA - automatic model creation framework

Lightautoml ⭐ 678

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

Automated modeling and machine learning framework FEDOT

Hpbandster ⭐ 551

a distributed Hyperband implementation on Steroids

Hyperactive ⭐ 475

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

Auto_viml ⭐ 473

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

Automl Implementation For Static And Dynamic Data Analytics ⭐ 443

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

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

Machinejs ⭐ 412

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Autofeat ⭐ 410

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Sapientml ⭐ 407

Generative AutoML for Tabular Data

Efficient Learning of Augmentation Policy Schedules

Library for Semi-Automated Data Science

Autoquant ⭐ 227

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Auptimizer ⭐ 195

An automatic ML model optimization tool.

Autoclint ⭐ 150

A specially designed light version of Fast AutoAugment

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

Evolutionaryforest ⭐ 108

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

Automl App ⭐ 97

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

Autoalbument ⭐ 89

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

Mindware ⭐ 54

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

Awesome Automl ⭐ 49

collecting related resources of automated machine learning here

Graphcl_automated ⭐ 47

[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 Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

An open source python library for automated prediction engineering

Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML

Covid Ct Code ⭐ 36

Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588

A lightweight and visual AutoML system

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

We're designing the AutoML platform that would make it easy for non-technical people to build custom AI solutions and AI-powered process automation.

Conveyer ⭐ 26

Machine Learning for everybody.

Auto Surprise ⭐ 25

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

Autodeepnet ⭐ 24

Automated deep learning!

Automated Machine Learning Framework for kdb+

Optimalflow ⭐ 22

OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.

Discriminative Ai Resources ⭐ 21

Personal Artificial Intelligence Resources List

Azure Machine Learning Bootcamp ⭐ 20

Azure Machine Learning Bootcamp

Predict Household Poverty ⭐ 18

Predict the poverty of households in Costa Rica using automated feature engineering.

Simplifai ⭐ 17

Free automated deep learning for spreadsheets

Featuretoolsonspark ⭐ 16

A simplified version of featuretools for Spark

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

Autoprognosis ⭐ 16

Code for the ICML 2018 paper: "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", by A. M. Alaa and M. van der Schaar.

Insolver ⭐ 16

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

Hpbandster Sklearn ⭐ 15

A scikit-learn wrapper for HpBandSter hyper parameter search.

Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

Automated NLP sentiment predictions- batteries included, or use your own data

A library for automatically designing metaheuristic optimizers.

Featuretools_sql ⭐ 11

Automated creation of EntitySets from relational data stored in SQL databases

Autolearn ⭐ 11

AutoLearn, a domain independent regression-based feature learning algorithm.

Pandora Backend ⭐ 9

Back-end interface for PANDORA https://github.com/genular/pandora

Fraud Loan Predictions Using Automated Machine Learning ⭐ 9

This repo contains the assets used for a workshop where we use IBM's AutoAI service to build a credit risk predictive machine learning model that help in deciding whether a bank should accept a customer's loan application or reject it.

Dataexplore Workshop ⭐ 9

data explore using machine learning & deep learning

Automoldesigner ⭐ 7

The official open-source repository for AutoMolDesigner, an easy-to-use Python application dedicated to automated molecular design.

A novel Inductive Logic Programming(ILP) system based on Meta Inverse Entailment in Python.

Semi-automated machine learning pipelines

Mlimputer ⭐ 5

MLimputer - Null Imputation Framework for Supervised Machine Learning

Automated Deep learning & Machine Learning in JavaScript, in browser locally or in node.

Predictive Maintenance With Machine Learning ⭐ 5

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

Classical And Quantum Regression Analysis For The Optoelectronic Performance Of Ntcda ⭐ 5

This repository contains the notebooks that can reproduce the results presented in the paper "Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode"

1-74 of 74 search results

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