DanielLee720
summary
About four years after version 1.0 the project shows 32 releases, roughly 1,500 citations and a manual that grows from 178→620 pages. It ships a custom math library and homegrown automatic differentiation, adds ODE solvers, user functions, L‑BFGS, ADVI and a newer NUTS, and implements unconstrained transforms for sampling. Interfaces include CmdStan RStan and PyStan, some benchmarks beat JAGS, and ecosystem tools like Prophet already build on it.
AI-written summary · about
chapters (4)
related talks
35mThe pet projects of Dr Frank Einstein
35mSecure Numerical Computing is Hard: Lessons from 10 Years of Open Data Science & the Long Road Ahead
20mKeynote: From Prototype to Innersource to Open Source: Lessons...
01h 09mThe Beman Project: Bringing C++ Standard Libraries to the Next Level
56mWhat you can learn from an open-source project with 300 million downloads
01h 07mKeynote + Conversation
27mOpenSTEF 4 Launch: A New Way of Building Energy...
27mE4S: Extreme-scale Scientific Software Stack
