automated-machine-learning

There are 58 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 hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow
Language:Python 13738
EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning random-forest gradient-boosting feature-engineering aiml alzheimer alzheimers nia u01ag066833 ag066833 adsp
Language:Python 9497
autokeras
keras-team / autokeras
AutoML library for deep learning
autodl automated-machine-learning automl deep-learning keras machine-learning neural-architecture-search python tensorflow
Language:Python 9063
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 7401
autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
automl machine-learning data-science deep-learning ensemble-learning computer-vision natural-language-processing structured-data object-detection gluon transfer-learning pytorch automated-machine-learning scikit-learn autogluon tabular-data hyperparameter-optimization time-series forecasting python
Language:Python 7106
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 7019
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
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 3676
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 2929
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
ml automl transformations estimators dsl pipelines machine-learning scala salesforce einstein features feature-engineering spark sparkml ai automated-machine-learning transmogrification transmogrify structured-data transformers
Language:Scala 2224
ClimbsRocks / auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
machine-learning data-science automated-machine-learning gradient-boosting scikit-learn python machine-learning-pipelines machine-learning-library production-ready automl lightgbm analytics feature-engineering hyperparameter-optimization deep-learning xgboost keras deeplearning tensorflow artificial-intelligence
Language:Python 1637
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 1621
kakaobrain / fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
deep-learning convolutional-neural-networks pytorch augmentation image-classification computer-vision distributed cnn automl automated-machine-learning
Language:Python 1583
MLBox
AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
machine-learning auto-ml kaggle deep-learning stacking pipeline optimization preprocessing encoding prediction distributed xgboost drift classification regression lightgbm keras automated-machine-learning automl data-science
Language:Python 1475
xcessiv
reiinakano / xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
machine-learning ensemble-learning stacked-ensembles scikit-learn data-science hyperparameter-optimization automated-machine-learning
Language:Python 1267
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 1109
SMAC3
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest gaussian-process
Language:Python 1005
sberbank-ai-lab / LightAutoML
LAMA - automatic model creation framework
automated-machine-learning automl blackbox classification data-science ensembling feature-engineering gradient-boosting kaggle lama linear-model model-selection multiclass nlp parameter-tuning pipeline pytorch regression stacking whitebox
Language:Python 867
sb-ai-lab / LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
automl data-science machine-learning python automated-machine-learning automatic-machine-learning automl-algorithms binary-classification kaggle lama multiclass-classification nlp regression
Language:Python 720
Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
automated-machine-learning automl concept-drift data-preprocessing data-stream-processing data-streams deep-learning feature-engineering hyperparameter-tuning intrusion-detection-system iot iot-data-analytics machine-learning model-selection python-examples python-samples
Language:Jupyter Notebook 613
FEDOT
aimclub / FEDOT
Automated modeling and machine learning framework FEDOT
automl machine-learning evolutionary-algorithms genetic-programming structural-learning automated-machine-learning hyperparameter-optimization parameter-tuning automation multimodality fedot
Language:Python 605
automl / HpBandSter
a distributed Hyperband implementation on Steroids
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl
Language:Python 603
arcelien / pba
Efficient Learning of Augmentation Policy Schedules
machine-learning data-science artificial-intelligence deep-learning python automl data-augmentation augmentation automated-machine-learning tensorflow convolutional-neural-networks image-classification
Language:Jupyter Notebook 503
AutoViML / Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
auto-viml autokeras automated-machine-learning automl automl-algorithms autosklearn machine-learning python python3 scikit-learn tpot xgboost
Language:Python 490
Hyperactive
SimonBlanke / Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyperparameter-optimization scikit-learn machine-learning python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization pytorch feature-engineering hyperactive model-selection
Language:Python 488
cod3licious / autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
machine-learning machine-learning-models linear-regression feature-engineering feature-selection automl automated-machine-learning automated-feature-engineering automated-data-science
Language:Python 475
microsoft / archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
automated-machine-learning automl darts deep-learning hyperparameter-optimization machine-learning model-compression nas neural-architecture-search petridish python pytorch
Language:Python 453
sapientml
sapientml / sapientml
Generative AutoML for Tabular Data
automl automated-machine-learning automl-products automl-python machine-learning python
Language:Python 426
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
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 320
AdrianAntico / AutoQuant
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
r timeseries supervised-learning automated-machine-learning unsupervised-learning regression classification multiclass-classification catboost xgboost h2o gpu-acceleration lightgbm panel-data automl
Language:R 230
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 199
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 198
kakaobrain / autoclint
A specially designed light version of Fast AutoAugment
deep-learning convolutional-neural-networks pytorch image-classification computer-vision cnn automl automated-machine-learning fast-auto-augment autodl-challenge autocv-challenge autocv2-challenge 1st-place
Language:Python 170
EpistasisLab / tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn ag066833 lm010098
Language:Jupyter Notebook 141
mljar / automl-app
AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
automated-machine-learning automl data-science jupyter-notebook machine-learning mljar python web-app
Language:Jupyter Notebook 133
hengzhe-zhang / EvolutionaryForest
An open source python library for automated feature engineering based on Genetic Programming
automated-feature-engineering automated-machine-learning automl data-science feature-engineering genetic-programming machine-learning
Language:Python 122