FLAML

FLAML is a lightweight Python library that efficiently automates machine learning and AI tasks. For common tasks such as classification and regression, it quickly finds good models for your data using few computing resources. It automatically tunes large language models for your use case to cut costs, and provides fast automatic tuning tools that also handle wide search spaces with varying evaluation costs. It supports AutoML and hyperparameter tuning in Microsoft Fabric Data Science.

• Automate model selection and hyperparameter optimization under resource constraints
• AutoML engine used as a scikit-learn-style estimator (get started in three lines of code)
• Fast automatic tuning based on a new cost-efficient tuning method
• Handles wide search spaces, complex constraints, and early stopping
• Automatically tunes large language models for your use case to reduce costs
• Automatic preprocessing of missing values (median imputation for numeric features, a separate value for categorical features)
• MLflow integration and Microsoft Fabric Data Science support

Open source + paid cloud-managed plans

Open-source version can be self-hosted for free, managed cloud services are paid based on usage/seats

Estimate based on AI knowledge - please verify on the official site

• One of 45 AI tools in the MLOps & Training field.
• Connected to 5 other tools — #11 in its field.