AutoGluon

AutoGluon is an open-source AutoML framework developed to automate and accelerate machine learning (ML) tasks with minimal human intervention. It simplifies the process of training, tuning, and deploying state-of-the-art models for tabular, text, and image data. By providing high-level APIs and built-in best practices, AutoGluon empowers researchers, data scientists, and developers to achieve strong predictive performance with minimal effort.

Features of AutoGluon:

• Automates model training, hyperparameter optimization, and ensembling for superior performance.
• Supports a wide range of ML tasks, including tabular prediction, text classification, and image recognition.
• Integrates seamlessly with PyTorch, LightGBM, CatBoost, and other popular ML libraries.
• Provides simple yet powerful APIs for rapid experimentation and deployment.
• Offers built-in model interpretability, leaderboard visualization, and logging utilities.
• Supports distributed and GPU-accelerated training for large-scale machine learning tasks.

To verify the working of AutoGluon in your shell:

$ sudo su
$ sudo apt update
$ cd /opt/autogluon
$ source venv/bin/activate
$ pip show autogluon

Disclaimer: AutoGluon is an open-source machine learning automation toolkit developed and maintained by Amazon Web Services (AWS). It is designed for research, prototyping, and production use to streamline ML experimentation and deployment. Users are responsible for configuring environments appropriately. Always refer to the official AutoGluon GitHub repository and documentation for the most accurate and up-to-date information.