Search Results for "tracking"

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud).

...Researchers and students use the platform to plan their paper submissions and manage academic schedules without manually tracking multiple conference announcements. The repository includes configuration files and data sources that allow contributors to add or update conferences through pull requests, enabling community-driven maintenance.