automl

There are 117 repositories under automl topic.

ray-project / ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ray distributed parallel machine-learning reinforcement-learning deep-learning python rllib hyperparameter-search optimization data-science automl hyperparameter-optimization model-selection java serving deployment pytorch tensorflow llm-serving
Language:Python 33266
ml-tooling / best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
python machine-learning data-science nlp data-visualization tensorflow pytorch scikit-learn keras data-visualizations deep-learning automl ml jax transformer data-analysis chatgpt gpt gpt-3
16296
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 14000
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
Language:Python 9684
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 9123
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
Language:Python 7758
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 7575
featuretools
alteryx / featuretools
An open source python library for automated feature engineering
feature-engineering machine-learning data-science automated-machine-learning automl python scikit-learn automated-feature-engineering
Language:Python 7223
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 java python r hadoop spark gpu automl h2o-automl
Language:Jupyter Notebook 6875
google / automl
Google Brain AutoML
automl efficientdet efficientnet efficientnetv2 object-detection
Language:Jupyter Notebook 6221
hibayesian / awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
automated-feature-engineering automl hyperparameter-optimization neural-architecture-search
3998
zenml
zenml-io / zenml
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
mlops machine-learning data-science production-ready devops-tools zenml pipelines metadata-tracking deep-learning pytorch tensorflow ml ai automl hacktoberfest workflow llm llmops
Language:Python 3964
quark0 / darts
Differentiable architecture search for convolutional and recurrent networks
automl convolutional-networks deep-learning image-classification language-modeling neural-architecture-search pytorch recurrent-networks
Language:Python 3908
Nixtla / statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
time-series statistics forecasting arima econometrics machine-learning python exponential-smoothing ets baselines predictions naive seasonal-naive fbprophet prophet neuralprophet mstl theta automl data-science
Language:Python 3887
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 3869
cube-studio
tencentmusic / cube-studio
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，多租户，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式
kubernetes inference mlops workflow ai pytorch spark argo kubeflow automl aihub gpt llmops notebook pipeline vgpu
Language:Jupyter Notebook 3511
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 3468
salesforce / Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
time-series anomaly-detection forecasting machine-learning benchmarking automl ensemble-learning
Language:Python 3365
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 3083
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 3017
shankarpandala / lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
machine-learning automl regression classification
Language:Python 2870
keras-team / keras-tuner
A Hyperparameter Tuning Library for Keras
automl deep-learning hyperparameter-optimization keras machine-learning tensorflow
Language:Python 2848
Tencent / PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
automl computer-vision deep-learning mobile-app model-compression
Language:Python 2783
automl / Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
automl deep-learning tabular-data pytorch
Language:Python 2357
PySR
MilesCranmer / PySR
High-Performance Symbolic Regression in Python and Julia
symbolic-regression machine-learning python julia genetic-algorithm automl interpretable-ml data-science explainable-ai scikit-learn symbolic algorithm distributed-systems evolutionary-algorithms equation-discovery
Language:Python 2315
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 2237
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 2235
metarank / metarank
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
automl data-engineering data-science deep-learning feature-engineering feature-extraction kubernetes machine-learning neural-networks personalization ranking scala search
Language:Scala 2066
sparseml
neuralmagic / sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
automl computer-vision-algorithms deep-learning-algorithms deep-learning-library deep-learning-models image-classification keras nlp object-detection onnx pruning pruning-algorithms pytorch smaller-models sparsification sparsification-recipes sparsity tensorflow transfer-learning
Language:Python 2046
mit-han-lab / once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
acceleration automl edge-ai efficient-model nas tinyml
Language:Python 1866
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 1846
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 1754
alibaba / EasyRec
A framework for large scale recommendation algorithms.
recommendation-algorithms recommender-system dssm esmm mind deepfm dlrm autoint din eges pdn online-learning deepmatching multi-task-learning automl capsule-network transformers-models wide-and-deep ctr-prediction
Language:Python 1736
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 1711
microsoft / Cream
This is a collection of our NAS and Vision Transformer work.
automl efficiency knowledge-distillation nas rpe vision-transformer vit-compression
Language:Python 1661
GoogleCloudPlatform / vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
automl colab colab-enterprise gemini gemini-api genai generative-ai google-cloud-platform ml mlops model model-garden notebook pipeline predictions samples vertex-ai vertexai workbench
Language:Jupyter Notebook 1649