Train gradient boosting models quickly and export portable artifacts for smooth deployment. Run fast predictions from newly trained models or existing artifacts. Upload datasets, browse available backends, and access a practical guide with best practices and troubleshooting.
Cross-referenced across 55 tracked directories
#8713
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
10/17/2025
First Seen
Recently added to the ecosystem
Jeremiah Lowin
The fast, Pythonic way to build MCP servers and clients.
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