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Discover 52 open source projects
Showing 1-20 of 52 projects
lukasmasuch/best-of-ml-python
Curated list of top machine learning Python libraries, updated weekly with quality scores.
microsoft/nni
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
autogluon/autogluon
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.
keras-team/autokeras
AutoKeras is an open-source AutoML library for deep learning that automates the model selection and hyperparameter tuning process.
automl/auto-sklearn
Automated Machine Learning with scikit-learn
alteryx/featuretools
An open-source Python library for automated feature engineering in machine learning.
h2oai/h2o-3
An open-source, distributed machine learning platform with support for various algorithms and autoML.
google/automl
Google Brain's AutoML is a library for building and deploying custom AI models using state-of-the-art computer vision techniques.
zenml-io/zenml
ZenML is a production-ready AI platform that provides a unified framework for building, deploying, and managing ML pipelines and agents.
tencentmusic/cube-studio
An open-source cloud-native AI platform for ML/DL workflows, model serving, and distributed training.
Nixtla/statsforecast
A fast, open-source library for time series forecasting using statistical and econometric models.
salesforce/Merlion
A Python framework for building advanced time series forecasting and anomaly detection models.
microsoft/FLAML
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
quark0/darts
A differentiable architecture search library for convolutional and recurrent neural networks
tensorflow/adanet
A flexible AutoML framework with learning guarantees for building high-performance AI models.
MilesCranmer/PySR
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
mljar/mljar-supervised
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
nidhaloff/igel
A delightful machine learning tool that allows you to train, test, and use models without writing code
keras-team/keras-tuner
Keras Tuner is a hyperparameter optimization library that helps developers find the best neural network architecture and hyperparameters for their Keras models.
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