Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
Key Features
- Comprehensive skill evaluation and performance tracking
- Community-driven ratings and reviews
- Easy integration with Claude Code
- Regular updates and maintenance
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Skill Details
GitHub Stars
8.6k
GitHub Forks
1k
Created
Jan 2026
Last Updated
il y a 4 mois
tools
tools machine learning
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