Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical ... Stan-dev/stan · The Stan Math Library is a C++... · RStan · Example models |
Stan is a C++ package providing. full Bayesian inference using the No-U-Turn sampler (NUTS), a variant of Hamiltonian Monte Carlo (HMC), ... |
PyStan is a Python interface to Stan, a package for Bayesian inference. Stan® is a state-of-the-art platform for statistical modeling and high-performance ... |
Repository docs · The Stan User's Guide - example models and techniques for coding statistical models in Stan and using them to do inference and prediction. |
Official PyTorch implementation of the paper "Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring" - farewellthree/STAN. |
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. |
NATS Streaming reached its end of life. It is no longer supported and has been replaced by Jetstream. JetStream is build into the NATS Server and supported by ... |
This is the top-level Wiki for Stan developers. User-facing information can be found on the. Stan project home page. If you have any questions about using ... |
This repo contains a new compiler for Stan, stanc3, written in OCaml. Since version 2.26, this has been the default compiler for Stan. |
STAN is an autoregressive data synthesizer that can generate synthetic time-series multi-variable data. A flexible architecture supports to generate multi- ... |
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