Projects in Awesome Lists tagged with automated-machine-learning

https://github.com/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

Last synced: 09 Nov 2024

https://github.com/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

Last synced: 29 Sep 2024

https://epistasislab.github.io/tpot/

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

adsp ag066833 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 u01ag066833

Last synced: 13 Nov 2024

https://github.com/epistasislab/tpot

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

adsp ag066833 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 u01ag066833

Last synced: 16 Dec 2024

https://github.com/EpistasisLab/tpot

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

adsp ag066833 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 u01ag066833

Last synced: 25 Oct 2024

https://github.com/keras-team/autokeras

AutoML library for deep learning

autodl automated-machine-learning automl deep-learning keras machine-learning neural-architecture-search python tensorflow

Last synced: 16 Dec 2024

https://github.com/autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning

Last synced: 16 Dec 2024

https://github.com/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

Last synced: 16 Dec 2024

https://github.com/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

Last synced: 16 Dec 2024

https://github.com/microsoft/flaml

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

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 16 Dec 2024

https://github.com/microsoft/FLAML

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

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 27 Oct 2024

https://github.com/mljar/mljar-supervised

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

automated-machine-learning automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost

Last synced: 17 Dec 2024

https://github.com/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

Last synced: 19 Dec 2024

https://github.com/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

Last synced: 30 Oct 2024

https://github.com/autoviml/autoviz

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

auto-sklearn automated-machine-learning automl automl-algorithms machine-learning python python3 scikit-learn tableau tpot visualization xgboost

Last synced: 17 Dec 2024

https://github.com/AutoViML/AutoViz

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

auto-sklearn automated-machine-learning automl automl-algorithms machine-learning python python3 scikit-learn tableau tpot visualization xgboost

Last synced: 26 Oct 2024

https://github.com/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

Last synced: 06 Nov 2024

https://github.com/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

Last synced: 20 Dec 2024

https://github.com/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

Last synced: 15 Dec 2024

https://github.com/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

Last synced: 20 Dec 2024

https://github.com/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

Last synced: 11 Nov 2024

https://github.com/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

Last synced: 21 Dec 2024

https://github.com/sb-ai-lab/lightautoml

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

automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression

Last synced: 19 Dec 2024

https://github.com/sb-ai-lab/LightAutoML

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

automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression

Last synced: 15 Nov 2024

https://github.com/deepwisdom/autodl

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

ai artificial-intelligence autodl autodl-challenge automated-machine-learning automl big-data data-science deeplearning feature-engineering full-automl lightgbm machine-learning model-selection multi-label nas python pytorch resnet tensorflow

Last synced: 21 Dec 2024

https://github.com/DeepWisdom/AutoDL

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

ai artificial-intelligence autodl autodl-challenge automated-machine-learning automl big-data data-science deeplearning feature-engineering full-automl lightgbm machine-learning model-selection multi-label nas python pytorch resnet tensorflow

Last synced: 18 Nov 2024

https://github.com/automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest

Last synced: 05 Nov 2024

https://github.com/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

Last synced: 27 Nov 2024

https://github.com/aimclub/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

Last synced: 09 Nov 2024

https://github.com/automl/HpBandSter

a distributed Hyperband implementation on Steroids

automated-machine-learning automl bayesian-optimization hyperparameter-optimization neural-architecture-search

Last synced: 09 Nov 2024

https://github.com/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

Last synced: 19 Dec 2024

https://github.com/simonblanke/hyperactive

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

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 19 Dec 2024

https://github.com/SimonBlanke/Hyperactive

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

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 05 Nov 2024

https://github.com/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

Last synced: 02 Nov 2024

https://github.com/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

Last synced: 21 Dec 2024

https://github.com/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

auto-ml automated-machine-learning automl data-science data-scientists javascript javascript-library kaggle machine-learning machine-learning-algorithms machine-learning-library ml numerai scikit-learn

Last synced: 27 Nov 2024

https://github.com/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

auto-ml automated-machine-learning automl data-science data-scientists javascript javascript-library kaggle machine-learning machine-learning-algorithms machine-learning-library ml numerai scikit-learn

Last synced: 22 Dec 2024

https://github.com/ibm/lale

Library for Semi-Automated Data Science

artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn

Last synced: 20 Dec 2024

https://github.com/IBM/lale

Library for Semi-Automated Data Science

artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn

Last synced: 15 Nov 2024

https://github.com/AdrianAntico/AutoQuant

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

automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost

Last synced: 11 Nov 2024

https://github.com/albumentations-team/autoalbument

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

augmentation automated-machine-learning automl computer-vision deep-learning image-augmentation machine-learning pytorch

Last synced: 16 Dec 2024

https://lge-arc-advancedai.github.io/auptimizer/

An automatic ML model optimization tool.

automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks

Last synced: 02 Nov 2024

https://github.com/LGE-ARC-AdvancedAI/auptimizer

An automatic ML model optimization tool.

automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks

Last synced: 15 Nov 2024

https://github.com/epistasislab/tpot2

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

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization lm010098 machine-learning model-selection nia parameter-tuning python random-forest scikit-learn

Last synced: 22 Dec 2024

https://github.com/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

Last synced: 10 Nov 2024

https://github.com/dana-farber/automl-in-healthcare-review

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

automated-machine-learning automl deep-learning healthcare machine-learning

Last synced: 03 Oct 2024

https://github.com/DataCanvasIO/Cooka

A lightweight and visual AutoML system

automated-feature-engineering automated-machine-learning automl data-science deep-learning hyperparameter-optimization machine-learning neural-network

Last synced: 18 Nov 2024

https://github.com/giantcroc/featuretoolsonspark

A simplified version of featuretools for Spark

automated-feature-engineering automated-machine-learning automl deep-feature-synthesis feature-engineering featuretools machine-learning python spark

Last synced: 12 Oct 2024

https://github.com/kxsystems/automl

Automated Machine Learning Framework for kdb+

automated-machine-learning kdb machine-learning q

Last synced: 07 Nov 2024

https://github.com/yusugomori/conveyer

Machine Learning for everybody.

automated-machine-learning machine-learning python3

Last synced: 07 Nov 2024

https://github.com/yard1/hpbandster-sklearn

A scikit-learn wrapper for HpBandSter hyper parameter search.

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning python scikit-learn sklearn

Last synced: 08 Nov 2024

https://github.com/oracle-samples/automlx

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

ai automated-machine-learning automl automlx classification data-science explainability fairness fairness-ai hyperparameter-optimization interpretability machine-learning machine-learning-explainability mlx oracle python regression timeseries-forecasting tuning unsupervised-anomaly-detection

Last synced: 11 Nov 2024

https://github.com/MindSetLib/Insolver

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

auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning

Last synced: 27 Nov 2024

https://github.com/climbsrocks/empythy

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

automated-machine-learning batteries-included machine-learning machinelearning nlp nlp-library nlp-machine-learning nlp-sentiment-classifier sentiment sentiment-classification sentiment-classifier sentiment-predictions

Last synced: 23 Oct 2024

https://github.com/chasedehan/diaml

Semi-automated machine learning pipelines

automated-machine-learning data-science hyperparameter-tuning machine-learning modular pipeline sklearn tpot

Last synced: 11 Oct 2024

https://github.com/tslu1s/mlimputer

MLimputer: Missing Data Imputation Framework for Supervised Machine Learning

automated-machine-learning data-science imputation-algorithm imputation-methods imputation-optimizer machine-learning missing-data missing-data-handling missing-data-imputation null-imputation predictive-imputation python

Last synced: 09 Nov 2024

https://github.com/littlelittlecloud/auto-machinelearning

Provides easy API to create and train sweepable pipeline for ML.Net over a group of pre-defined paramaters and trainers

automated-machine-learning automl machine-learning machinelearning-csharp mlnet

Last synced: 13 Nov 2024

https://github.com/imoneoi/xrl-ppo

Automated & super fast PyTorch deep reinforcement learning platform for autonomous driving

automated-machine-learning autonomous-driving autonomous-vehicles deep-learning deep-reinforcement-learning ppo ppo-pytorch pytorch reinforcement-learning

Last synced: 16 Dec 2024

https://github.com/yzhao062/algs

An AutoML system for algorithm selection (model selection)

algorithm-selection auto-ml automated-machine-learning machine-learning model-selection python

Last synced: 25 Nov 2024

https://github.com/lennartpurucker/populationbasedqdo-posthocensembleselectionautoml

Repository for Reproducibility for the Paper: "Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML"

automated-machine-learning automl ensemble-learning ensembles machine-learning post-hoc-ensembles reproducibility

Last synced: 05 Dec 2024

https://github.com/lennartpurucker/cma-es-posthocensemblingautoml

Repository for Reproducibility for the Paper: "CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure".

automated-machine-learning automl ensemble-learning ensembles machine-learning post-hoc-ensembles reproducibility

Last synced: 05 Dec 2024

https://github.com/jadelhelm/autoprepad

Anomaly Detection Pipeline automates data preprocessing for unsupervised scenarios without labels.

anomalies anomalies-detection anomaly anomaly-detection anomalydetection automated automated-machine-learning data-quality machine-learning machine-learning-algorithms preprocessing preprocessing-data preprocessing-pipeline pyod python sklearn tabular

Last synced: 13 Nov 2024

https://github.com/newking9088/real_estate_cost_estimation_and_property_recommendation

We've developed an intelligent real estate recommendation engine that achieves 95% accuracy in price predictions while personalizing property suggestions to individual preferences. By implementing the KNN algorithm, our system analyzes thousands of historical transactions to determine recommendation properties

automated-machine-learning descriptive-analysis descriptive-statistics mlops-workflow predictive-modeling recommender-system