automated-machine-learning

There are 44 repositories under automated-machine-learning topic.

nni
microsoft / nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering feature-extraction hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms model-compression nas neural-architecture-search neural-network python pytorch tensorflow
Language:Python 11500
EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection parameter-tuning python random-forest scikit-learn xgboost
Language:Python 8576
autokeras
keras-team / autokeras
AutoML library for deep learning
automl neural-architecture-search automated-machine-learning python deep-learning machine-learning autodl tensorflow keras
Language:Python 8508
automl / auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Language:Python 6289
featuretools
alteryx / featuretools
An open source python library for automated feature engineering
automated-feature-engineering automated-machine-learning automl data-science feature-engineering machine-learning python scikit-learn
Language:Python 6181
awslabs / autogluon
AutoGluon: AutoML for Image, Text, and Tabular Data
automl machine-learning data-science deep-learning ensemble-learning image-classification computer-vision natural-language-processing structured-data object-detection gluon mxnet transfer-learning pytorch automated-machine-learning scikit-learn autogluon tabular-data neural-architecture-search hyperparameter-optimization
Language:Python 4508
salesforce / TransmogrifAI
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
ai automated-machine-learning automl dsl einstein estimators feature-engineering features machine-learning ml pipelines salesforce scala spark sparkml structured-data transformations transformers transmogrification transmogrify
Language:Scala 2115
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest neural-network lightgbm catboost ensemble tuning-algorithm models-tuning hyper-parameters decision-tree shap automated-machine-learning
Language:Python 1901
microsoft / FLAML
A fast library for AutoML and tuning.
automl hyperparam automated-machine-learning machine-learning data-science python jupyter-notebook hyperparameter-optimization random-forest scikit-learn deep-learning natural-language-processing natural-language-generation timeseries-forecasting classification regression tuning finetuning tabular-data
Language:Jupyter Notebook 1868
ClimbsRocks / auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost
Language:Python 1571
kakaobrain / fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
augmentation automated-machine-learning automl cnn computer-vision convolutional-neural-networks deep-learning distributed image-classification pytorch
Language:Python 1490
MLBox
AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost
Language:Python 1320
xcessiv
reiinakano / xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
automated-machine-learning data-science ensemble-learning hyperparameter-optimization machine-learning scikit-learn stacked-ensembles
Language:Python 1261
DeepWisdom / AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
autodl automl nas feature-engineering model-selection full-automl artificial-intelligence lightgbm resnet pytorch tensorflow python autodl-challenge ai deeplearning data-science machine-learning big-data multi-label automated-machine-learning
Language:Python 963
AutoViML / AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
visualization python3 python xgboost automl scikit-learn machine-learning tableau automl-algorithms tpot auto-sklearn automated-machine-learning
Language:Python 702
SMAC3
automl / SMAC3
Sequential Model-based Algorithm Configuration
algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest
Language:Python 700
automl / HpBandSter
a distributed Hyperband implementation on Steroids
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl
Language:Python 539
arcelien / pba
Efficient Learning of Augmentation Policy Schedules
artificial-intelligence augmentation automated-machine-learning automl convolutional-neural-networks data-augmentation data-science deep-learning image-classification machine-learning python tensorflow
Language:Jupyter Notebook 480
ClimbsRocks / machineJS
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
machine-learning data-science javascript machine-learning-library machine-learning-algorithms ml data-scientists javascript-library scikit-learn kaggle numerai automated-machine-learning automl auto-ml
Language:Python 410
Hyperactive
SimonBlanke / Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyperparameter-optimization scikit-learn machine-learning meta-heuristics python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization pytorch feature-engineering hyperactive
Language:Python 397
FEDOT
nccr-itmo / FEDOT
Automated modeling and machine learning framework FEDOT
automated-machine-learning automation automl evolutionary-algorithms fedot genetic-programming hyperparameter-optimization machine-learning multimodality parameter-tuning structural-learning
Language:Python 386
microsoft / archai
Archai accelerates Neural Architecture Search (NAS) through fast, reproducible and modular research.
automated-machine-learning darts deep-learning machine-learning model-compression nas neural-architecture-search petridish python pytorch
Language:Python 354
AutoViML / Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
automl auto-viml machine-learning python3 python scikit-learn xgboost tpot autosklearn autokeras automated-machine-learning automl-algorithms
Language:Python 345
cod3licious / autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
automated-data-science automated-feature-engineering automated-machine-learning automl feature-engineering feature-selection linear-regression machine-learning machine-learning-models
Language:Jupyter Notebook 309
IBM / lale
Library for Semi-Automated Data Science
scikit-learn automl automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search python artificial-intelligence pipeline-tests pipeline-testing dataquality data-science machine-learning ibm-research ibm-research-ai interoperability
Language:Python 257
RemixAutoML
AdrianAntico / RemixAutoML
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.
r timeseries anomaly-detection feature-engineering supervised-learning automated-machine-learning unsupervised-learning recommender-system regression classification multiclass-classification catboost xgboost h2o gpu-acceleration lightgbm panel-data funnel-data intermittent-demand automl
Language:R 194
LGE-ARC-AdvancedAI / auptimizer
An automatic ML model optimization tool.
hyperparameter-optimization hpo hyperparameter-tuning deep-learning automl automated-machine-learning machine-learning neural-networks data-science data-engineering
Language:Python 183
kakaobrain / autoclint
A specially designed light version of Fast AutoAugment
1st-place autocv-challenge autocv2-challenge autodl-challenge automated-machine-learning automl cnn computer-vision convolutional-neural-networks deep-learning fast-auto-augment image-classification pytorch
Language:Python 173
albumentations-team / autoalbument
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
automl augmentation image-augmentation deep-learning pytorch automated-machine-learning machine-learning computer-vision
Language:Python 149
genular / simon-frontend
:chart: SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform :computer:
ai automated-machine-learning automl data-analysis data-mining data-science data-visualization feature-discovery knowledge-discovery machine-learning open-science predictiveanalytics self-hosted simon simonml systems-biology
Language:Vue 107
Shen-Lab / GraphCL_Automated
[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
graph-neural-networks self-supervised-learning self-supervision automated-machine-learning
Language:Python 54
mr7495 / COVID-CT-Code
Fully automated code for Covid-19 detection from CT scans from paper: 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 ct-scan-images covid-dataset ctscan-dataset
Language:Jupyter Notebook 50
ChanChiChoi / awesome-automl
collecting related resources of automated machine learning here
automl autodl automated-machine-learning
49
ahmedmalaa / AutoPrognosis
Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
automl automated-machine-learning bayesian-optimization
Language:Python 42
Dana-Farber / automl-in-healthcare-review
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
machine-learning deep-learning automated-machine-learning automl healthcare
41
thomas-young-2013 / mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
automl-algorithms machine-learning machinelearning-python python pypi automl machine-learning-models data-science machine-learning-projects deep-learning hyperparameter-optimization hyperparameter-tuning feature-engineering ensemble-learning bayesian-optimization automated-machine-learning automation machinelearning
Language:Python 36

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