automl

There are 78 repositories under automl topic.

ray-project / ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
ray distributed parallel machine-learning reinforcement-learning deep-learning python rllib hyperparameter-search optimization data-science automl hyperparameter-optimization model-selection java serving deployment
Language:Python 20630
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 11504
ml-tooling / best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
best-of awesome python machine-learning data-science nlp data-visualization tensorflow pytorch scikit-learn keras python-library data-visualizations deep-learning automl ml jax transformer data-analysis
Language:Python 10279
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 8578
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 8508
mindsdb / mindsdb
In-Database Machine Learning
ml pytorch automl explainable-ai explainable-ml artificial-intelligence machine-learning mariadb clickhouse hacktoberfest mysql machine-learning-api postgresql snowflake singlestore
Language:Python 7024
automl / auto-sklearn
Automated Machine Learning with scikit-learn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac
Language:Python 6290
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 6182
h2oai / h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
h2o machine-learning data-science deep-learning big-data ensemble-learning gbm random-forest naive-bayes pca opensource distributed multi-threading java python r hadoop spark gpu automl
Language:Jupyter Notebook 5830
google / automl
Google Brain AutoML
automl efficientdet efficientnet efficientnetv2 object-detection
Language:Jupyter Notebook 5025
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 4509
quark0 / darts
Differentiable architecture search for convolutional and recurrent networks
deep-learning automl image-classification language-modeling pytorch convolutional-networks recurrent-networks neural-architecture-search
Language:Python 3568
hibayesian / awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
automl automated-feature-engineering hyperparameter-optimization neural-architecture-search
3452
tensorflow / adanet
Fast and flexible AutoML with learning guarantees.
automl tensorflow learning-theory deep-learning neural-architecture-search gpu machine-learning ensemble tpu python distributed-training
Language:Jupyter Notebook 3398
igel
nidhaloff / igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
machine-learning machinelearning machine-learning-algorithms machine-learning-library artificial-intelligence neural-network neural-networks sklearn scikit-learn scikitlearn-machine-learning data-science data-analysis preprocessing automation automl automl-experiments hacktoberfest hacktoberfest2021
Language:Python 2981
Tencent / PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
deep-learning model-compression mobile-app automl computer-vision
Language:Python 2709
salesforce / Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series
Language:Python 2474
microsoft / forecasting
Time Series Forecasting Best Practices & Examples
artificial-intelligence automl azure-ml best-practices deep-learning demand-forecasting dilated-cnn forecasting hyperparameter-tuning jupyter-notebook lightgbm machine-learning model-deployment prophet python r retail tidyverse time-series
Language:Python 2276
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 2115
zenml
zenml-io / zenml
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
mlops machine-learning data-science production-ready devops-tools zenml pipelines metadata-tracking deep-learning pytorch tensorflow ml ai automl
Language:Python 2043
D-X-Y / Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
neural-architecture-search nas automl deep-learning awesome autodl hyper-parameter-optimization
Language:Python 1942
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 1902
microsoft / FLAML
A fast library for AutoML and tuning.
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
Language:Jupyter Notebook 1868
minimaxir / automl-gs
Provide an input CSV and a target field to predict, generate a model + code to run it.
python tensorflow keras xgboost machine-learning automl
Language:Python 1786
HuaizhengZhang / Awesome-System-for-Machine-Learning
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
machine-learning system deep-learning optimization paper resouce-management deep-reinforcement-learning edge-computing computer-system distributed-systems infrastructure deep-neural-networks automl model-database inference
1641
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 1571
mit-han-lab / once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
tinyml edge-ai efficient-model acceleration nas automl
Language:Python 1509
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 1490
tobegit3hub / advisor
Open-source implementation of Google Vizier for hyper parameters tuning
ml dl hyperparameters optimization blackbox algorithm tunning automl
Language:Jupyter Notebook 1459
GoogleCloudPlatform / java-docs-samples
Java and Kotlin Code samples used on cloud.google.com
java kotlin appengine auth automl cdn vision video translate samples
Language:Java 1437
D-X-Y / AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
nas neural-architecture-search automl pytorch autodl
Language:Python 1383
modelfoxdotdev / modelfox
ModelFox makes it easy to train, deploy, and monitor machine learning models.
rust machine-learning elixir elixir-lang go golang js javascript python python3 ruby ruby-on-rails rustlang rust-lang rust-library rust-crate automl developer-tools mlops
Language:Rust 1323
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 1320
mit-han-lab / proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
automl specialization hardware-aware acceleration on-device-ai efficient-model
Language:Python 1315
FedML-AI / FedML
FedML - The federated and distributed machine learning library enabling machine learning anywhere at any scale. It's backed by FedML, Inc (https://FedML.ai). Supporting large-scale geo-distributed training, cross-device federated learning on smartphones/IoTs, cross-silo federated learning on data silos, and research simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. FedML’s core technology is backed by years of cutting-edge research represented in 50+ publications in ML/FL Algorithms, Security/Privacy, Systems, and Applications, as well as 10 years of industrial experience in Distributed Systems, Cloud Computing, and Mobile/IoT Systems.
machine-learning federated-learning pytorch marketplace automl deep-learning distributed-systems distributed-training fedml tensorflow cross-device cross-silo simulation
Language:Python 1195
sparseml
neuralmagic / sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
pytorch keras model-sparsification sparsification-recipes tensorflow smaller-models deep-learning-library deep-learning-algorithms deep-learning-models automl pruning-algorithms sparsity sparsification recipe-driven-approaches pruning computer-vision-algorithms object-detection image-classification nlp onnx
Language:Python 987

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