MLflow: A Machine Learning Lifecycle Platform - Ben Sadeghi
Channel: FOSSASIA
Date: 2020-04-04

MLflow is an open-source 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). In this talk, we'll discuss MLflow's components and run through a quick demo.

FOSSASIA Summit 2020 - Artificial Intelligence

Speaker: Ben Sadeghi, Partner Solutions Architect Databricks