AllisterML is a modular, extensible, and configuration-driven framework for training, evaluating, and tracking machine learning models.
It is designed to make ML experimentation reproducible, organized, and production-ready, while allowing full flexibility in dataset preprocessing, model selection, hyperparameter tuning, and experiment logging.
- Name: Allister Kohn
- Email: contact@allisterkohn.com
- LinkedIn: linkedin.com/in/allisterkohn