The following hands-on tutorials teach you how to build real-world applications that utilize computer vision, natural language processing, and business-oriented ML using Metaflow.
Introduction to Metaflow
Discover and implement patterns you can use as a foundation for a machine learning stack that handles data, compute access, and facilitates robust versioning.
Natural Language Processing with Metaflow
Use TensorFlow, Scikit-learn, and Metaflow to operationalize a NLP application using best practices for evaluation and testing.
Computer Vision with Metaflow - Beginner
Use Keras and Metaflow to write computer vision code you can use as a foundation for real-world computer vision projects.
Computer Vision with Metaflow - Intermediate
Access large image datasets across local and cloud environments with Metaflow. Load data, train models with PyTorch, and log results with TensorBoard.
Recommender Systems with Metaflow
Use DuckDB, Gensim, Metaflow, and Keras to build an end-to-end recommender system.
We also have many more in the pipeline! We hope you find them useful and fun. We look forward to discussing them with you. Join us on slack to chat about them and to let us know what else you would find useful.