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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 It is no longer supported and has been replaced by Jetstream.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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