Automated Machine Learning (AutoML) Tools

01. Auto-WEKA simultaneously selects a learning algorithm and setting its hyperparameters,
02. auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator
03. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming
04. H2O AutoML automates algorithm selection, feature generation, hyperparameter tuning, iterative modeling, and model assessment.
05. TransmogrifAI is an AutoML library written in Scala that runs on top of Apache Spark.
06. MLBox is a powerful Automated Machine Learning python library
07. AutoKeras: An AutoML system based on Keras. The goal of AutoKeras is to make machine learning accessible to everyone.
08. DataRobot’s AutoML solution empowers AI Creators at many organizations to apply their domain expertise and deliver best-in-class models without sacrificing time and trust.
09. Databricks AutoML allows you to quickly generate baseline models and notebooks.
10. AutoGluon: AutoML for Text, Image, and Tabular Data
11. Auto-PyTorch optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL).
12. JADBio’s purpose-built AutoML platform provides leading-edge AI tools and automation capabilities
13. B2Metric AutoML solution set up an ML pipeline for usage of marketing teams, data scientists and data executives.
14. Google Cloud Vertex AI - Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified AI platform.
15. PyCaret AutoML - This function returns the best model out of all models created in the current active environment based on metric defined in optimize parameter.
16. Auger.AI is a AutoML platform. Auger’s patented Bayesian optimization-based search of algorithm/hyperparameter combinations builds more accurate predictive models faster.
17. TAZI platform provides SaaS automated Machine Learning (AutoML) solutions for insurance, banking & finance, retail and telecoms industries.
18. Azure AutoML allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality.