AutoML & Hyperparameter Optimization

Modern, define-by-run hyperparameter optimization with pruning and visualizations. Extremely popular in 2026.

AWS AutoML toolkit for tabular, image, text, and multimodal data - state-of-the-art with almost zero code.

Microsoft's fast & lightweight AutoML focused on efficiency and low compute.

Kubernetes-native AutoML for hyperparameter tuning, early stopping, and neural architecture search. Framework-agnostic with support for TensorFlow, PyTorch, XGBoost, and custom training operators. Apache 2.0 licensed.