allegml
allegml is a framework designed to streamline the development and deployment of machine learning models. It aims to provide a unified interface for various machine learning tasks, from data preprocessing to model training and inference. The framework supports a range of popular machine learning libraries, allowing users to leverage their existing tools within a consistent structure.
One of the core features of allegml is its emphasis on reproducibility. By managing dependencies and configurations,
allegml is also concerned with the operational aspects of machine learning. It offers capabilities for model