mltek
mltek is a modular open-source machine learning toolkit designed to support experimentation, evaluation, and deployment of ML models across different platforms. The project emphasizes composability over monolithic design, enabling researchers and developers to assemble pipelines tailored to their specific use cases.
The core components of mltek typically include a data pipeline for loading and transforming datasets, a model
Architecture and extensibility in mltek are built around a plugin system. Data loaders, model backends, optimization
Development and usage patterns for mltek are community-driven. Documentation and examples aim to assist both newcomers