Snowflake Labs
Change the repository type filter
All
Repositories list
288 repositories
- Snowflake AI Toolkit is an AI Accelerator and Playground for enabling AI in Snowflake. It is an Plug and Play Streamlit based Native App that can be used to explore, learn and build rapid prototypes of AI Solutions in Snowflake powered by the Snowflake's Cortex and AI Functions.
- ML Observability allows you to track the quality of production models you have deployed via the Snowflake Model Registry across multiple dimensions, such as performance, drift, and volume.Create an end to end ML pipeline using Snowflake ML with the ability to monitor the built models over time
- The Emerging Solutions Toolbox is a collection of solutions created by Snowflake's Solution Innovation Team (SIT) that consists of demos, helpers, and frameworks to help you get the most out of Snowflake.
snowflake-jenkins-plugin
Publicsansshell
PublicA non-interactive daemon for host management- Running Distributed PyTorch Models on Snowflake: An End-to-End ML Solution
orchestration-framework
Publicdlsync
Publicsemantic-model-generator
Publicsnowflake-demo-notebooks
PublicCollection of Snowflake Notebook demos, tutorials, and examplesgvisor
Publicsf-samples
Publicsnowflake-flow-diff
Public- Follow along with our tutorials to get you up and running with Snowflake.
cortex-search
PublicSC.DDLExportScripts
Publicschemachange
Public- Process a knowledge base of unstructured and structured Enterprise data and then used it to build an AI/ML-powered Assistant for a Contact Center.
- In this quickstart, we'll explore how to harness the power of Snowpark Container Services SPCS using GPUs to execute a notebook to train an XGBoost model directly within Snowflake.