Download
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).
Features
- MLflow Tracking: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI.
- MLflow Projects: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others.
- MLflow Models: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker.
- MLflow Model Registry: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow MLflow
Other Useful Business Software
Project Management Software
Project Insight offers powerful tools for project managers and teams in order to deliver optimal performance and ensure success. An enterprise project and portfolio management software, Project Insight offers personalized dashboards, intelligent scheduling, resource management, collaboration, time and expense tracking, project and portfolio tracking, workflow, and reporting features to help teams work better and get real results. Project Insight is suitable for small teams, mid-market companies, and large enterprises.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of MLflow!
