GCMek
GCMek is a software framework designed for building and deploying machine learning models. It aims to simplify the process of moving machine learning models from the development environment to production. The framework provides tools for model training, versioning, deployment, and monitoring.
One of the key features of GCMek is its emphasis on reproducibility. It helps users track the
GCMek also facilitates the deployment of models as APIs, making them accessible to other applications. It supports
The framework includes capabilities for monitoring deployed models. This involves tracking performance metrics, detecting drift in
GCMek is often used in conjunction with other machine learning libraries and tools. Its architecture is designed