Topic: automated-machine-learning Goto Github

👇 Here are 142 public repositories matching this topic...

adrianantico / autoquant
automated-machine-learning,R package for automation of machine learning, forecasting, model evaluation, and model interpretation
User: adrianantico
r timeseries supervised-learning automated-machine-learning unsupervised-learning regression classification multiclass-classification catboost xgboost

ahmedmalaa / autoprognosis
automated-machine-learning,Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
User: ahmedmalaa
automl automated-machine-learning bayesian-optimization

aimclub / fedot
automated-machine-learning,Automated modeling and machine learning framework FEDOT
Organization: aimclub
Home Page: https://fedot.readthedocs.io
automl machine-learning evolutionary-algorithms genetic-programming structural-learning automated-machine-learning hyperparameter-optimization parameter-tuning automation multimodality

albumentations-team / autoalbument
automated-machine-learning,AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Organization: albumentations-team
Home Page: https://albumentations.ai/docs/autoalbument/
automl augmentation image-augmentation deep-learning pytorch automated-machine-learning machine-learning computer-vision

alteryx / featuretools
automated-machine-learning,An open source python library for automated feature engineering
Organization: alteryx
Home Page: https://www.featuretools.com
feature-engineering machine-learning data-science automated-machine-learning automl python scikit-learn automated-feature-engineering

arcelien / pba
automated-machine-learning,Efficient Learning of Augmentation Policy Schedules
User: arcelien
Home Page: https://bair.berkeley.edu/blog/2019/06/07/data_aug/
machine-learning data-science artificial-intelligence deep-learning python automl data-augmentation augmentation automated-machine-learning tensorflow

augerai / a2ml
automated-machine-learning,Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML
Organization: augerai
Home Page: https://a2ml.org
automl machine-learning machinelearning automated-machine-learning cloud

autogluon / autogluon
automated-machine-learning,Fast and Accurate ML in 3 Lines of Code
Organization: autogluon
Home Page: https://auto.gluon.ai/
automl machine-learning data-science deep-learning ensemble-learning computer-vision natural-language-processing structured-data object-detection gluon

automl / auto-sklearn
automated-machine-learning,Automated Machine Learning with scikit-learn
Organization: automl
Home Page: https://automl.github.io/auto-sklearn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac

automl / hpbandster
automated-machine-learning,a distributed Hyperband implementation on Steroids
Organization: automl
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl

automl / smac3
automated-machine-learning,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Organization: automl
Home Page: https://automl.github.io/SMAC3/v2.0.2/
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest

autoviml / auto_viml
automated-machine-learning,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
User: autoviml
automl auto-viml machine-learning python3 python scikit-learn xgboost tpot autosklearn autokeras

autoviml / autoviz
automated-machine-learning,Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
User: autoviml
visualization python3 python xgboost automl scikit-learn machine-learning tableau automl-algorithms tpot

axelderomblay / mlbox
automated-machine-learning,MLBox is a powerful Automated Machine Learning python library.
User: axelderomblay
Home Page: https://mlbox.readthedocs.io/en/latest/
machine-learning auto-ml kaggle deep-learning stacking pipeline optimization preprocessing encoding prediction

chanchichoi / awesome-automl
automated-machine-learning,collecting related resources of automated machine learning here
User: chanchichoi
automl autodl automated-machine-learning

climbsrocks / auto_ml
automated-machine-learning,[UNMAINTAINED] Automated machine learning for analytics & production
User: climbsrocks
Home Page: http://auto-ml.readthedocs.io
machine-learning data-science automated-machine-learning gradient-boosting scikit-learn python machine-learning-pipelines machine-learning-library production-ready automl

climbsrocks / machinejs
automated-machine-learning,[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
User: climbsrocks
Home Page: https://github.com/ClimbsRocks/auto_ml
machine-learning data-science javascript machine-learning-library machine-learning-algorithms ml data-scientists javascript-library scikit-learn kaggle

cod3licious / autofeat
automated-machine-learning,Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
User: cod3licious
machine-learning machine-learning-models linear-regression feature-engineering feature-selection automl automated-machine-learning automated-feature-engineering automated-data-science

csa-ocp-ger / azure-machine-learning-bootcamp
automated-machine-learning,Azure Machine Learning Bootcamp
Organization: csa-ocp-ger
azure machine-learning automl azure-machine-learning mnist jupyer-notebook automated-machine-learning

dana-farber / automl-in-healthcare-review
automated-machine-learning,Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
User: dana-farber
Home Page: https://doi.org/10.1016/j.artmed.2020.101822
machine-learning deep-learning automated-machine-learning automl healthcare

datacanvasio / cooka
automated-machine-learning,A lightweight and visual AutoML system
Organization: datacanvasio
Home Page: https://cooka.readthedocs.io
automl automated-machine-learning data-science machine-learning deep-learning neural-network hyperparameter-optimization automated-feature-engineering

deepwisdom / autodl
automated-machine-learning,Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Organization: deepwisdom
Home Page: http://fuzhi.ai
autodl automl nas feature-engineering model-selection full-automl artificial-intelligence lightgbm resnet pytorch

epistasislab / tpot
automated-machine-learning,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: http://epistasislab.github.io/tpot/
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning

epistasislab / tpot2
automated-machine-learning,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: https://epistasislab.github.io/tpot2/
adsp aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting

giantcroc / featuretoolsonspark
automated-machine-learning,A simplified version of featuretools for Spark
User: giantcroc
automated-feature-engineering deep-feature-synthesis automl machine-learning feature-engineering spark python automated-machine-learning featuretools

hengzhe-zhang / evolutionaryforest
automated-machine-learning,An open source python library for automated feature engineering based on Genetic Programming
User: hengzhe-zhang
genetic-programming automl automated-feature-engineering automated-machine-learning feature-engineering machine-learning data-science

hkuds / autocf
automated-machine-learning,[WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2303.07797
automated-machine-learning collaborative-filtering recommender-systems self-supervised-learning

ibm / lale
automated-machine-learning,Library for Semi-Automated Data Science
Organization: ibm
Home Page: https://lale.readthedocs.io
scikit-learn automl automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search python artificial-intelligence pipeline-tests pipeline-testing

kakaobrain / autoclint
automated-machine-learning,A specially designed light version of Fast AutoAugment
Organization: kakaobrain
deep-learning convolutional-neural-networks pytorch image-classification computer-vision cnn automl automated-machine-learning fast-auto-augment autodl-challenge

kakaobrain / fast-autoaugment
automated-machine-learning,Official Implementation of 'Fast AutoAugment' in PyTorch.
Organization: kakaobrain
deep-learning convolutional-neural-networks pytorch augmentation image-classification computer-vision distributed cnn automl automated-machine-learning

keras-team / autokeras
automated-machine-learning,AutoML library for deep learning
Organization: keras-team
Home Page: http://autokeras.com/
automl neural-architecture-search automated-machine-learning python deep-learning machine-learning autodl tensorflow keras

lge-arc-advancedai / auptimizer
automated-machine-learning,An automatic ML model optimization tool.
User: lge-arc-advancedai
Home Page: https://lge-arc-advancedai.github.io/auptimizer/
hyperparameter-optimization hpo hyperparameter-tuning deep-learning automl automated-machine-learning machine-learning neural-networks data-science data-engineering

microsoft / archai
automated-machine-learning,Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Organization: microsoft
Home Page: https://microsoft.github.io/archai
python pytorch machine-learning deep-learning neural-architecture-search nas automated-machine-learning model-compression darts petridish

microsoft / flaml
automated-machine-learning,A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Organization: microsoft
Home Page: https://microsoft.github.io/FLAML/
automl hyperparam automated-machine-learning machine-learning data-science python jupyter-notebook hyperparameter-optimization random-forest scikit-learn

microsoft / nni
automated-machine-learning,An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Organization: microsoft
Home Page: https://nni.readthedocs.io
automl deep-learning neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning machine-learning machine-learning-algorithms data-science

ml-for-good / automl
automated-machine-learning,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.
Organization: ml-for-good
automated-machine-learning automl machine-learning

mljar / automl-app
automated-machine-learning,AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
Organization: mljar
Home Page: https://automl.runmercury.com/
automated-machine-learning automl data-science jupyter-notebook machine-learning mljar python web-app

mljar / mljar-supervised
automated-machine-learning,Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Organization: mljar
Home Page: https://mljar.com
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest

mr7495 / covid-ct-code
automated-machine-learning,Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588
User: mr7495
Home Page: https://doi.org/10.1016/j.bspc.2021.102588
deep-learning deep-neural-networks convolutional-neural-networks computer-vision covid-19 covid19-data ct-scans radiology automated-machine-learning covid-ct

reiinakano / xcessiv
automated-machine-learning,A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
User: reiinakano
Home Page: http://xcessiv.readthedocs.io
machine-learning ensemble-learning stacked-ensembles scikit-learn data-science hyperparameter-optimization automated-machine-learning

salesforce / transmogrifai
automated-machine-learning,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
Organization: salesforce
Home Page: https://transmogrif.ai
ml automl transformations estimators dsl pipelines machine-learning scala salesforce einstein

sapientml / sapientml
automated-machine-learning,Generative AutoML for Tabular Data
Organization: sapientml
Home Page: https://sapientml.io/
automl automated-machine-learning automl-products automl-python machine-learning python

sb-ai-lab / lightautoml
automated-machine-learning,Fast and customizable framework for automatic ML model creation (AutoML)
Organization: sb-ai-lab
Home Page: https://developers.sber.ru/portal/products/lightautoml
automl data-science machine-learning python automated-machine-learning automatic-machine-learning automl-algorithms binary-classification kaggle lama

sberbank-ai-lab / lightautoml
automated-machine-learning,LAMA - automatic model creation framework
Organization: sberbank-ai-lab
automl classification regression multiclass pytorch nlp model-selection parameter-tuning automated-machine-learning lama

shen-lab / graphcl_automated
automated-machine-learning,[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
User: shen-lab
graph-neural-networks self-supervised-learning self-supervision automated-machine-learning

simonblanke / hyperactive
automated-machine-learning,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
User: simonblanke
Home Page: https://simonblanke.github.io/hyperactive-documentation
hyperparameter-optimization scikit-learn machine-learning python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization

thomas-young-2013 / mindware
automated-machine-learning,An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
User: thomas-young-2013
Home Page: https://mindware.readthedocs.io
automl-algorithms machine-learning machinelearning-python python pypi automl machine-learning-models data-science machine-learning-projects deep-learning

trane-dev / trane
automated-machine-learning,An open source python library for automated prediction engineering
Organization: trane-dev
Home Page: https://www.trane.dev
automated-machine-learning automl data-science machine-learning prediction-engineering python automated-prediction-engineering auto-labeling autolabeling

western-oc2-lab / automl-implementation-for-static-and-dynamic-data-analytics
automated-machine-learning,Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Organization: western-oc2-lab
automated-machine-learning automl concept-drift data-preprocessing data-stream-processing data-streams deep-learning feature-engineering hyperparameter-tuning intrusion-detection-system

yi-chen-lin2019 / predictive-maintenance-with-machine-learning
automated-machine-learning,This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
User: yi-chen-lin2019
machine-learning predictive-maintenance python automated-machine-learning anomaly-detection remaining-useful-life failure-detection industry-4 ball-bearing battery