33 packages matching “mcmc”
stoch
v0.0.2 · 7 months ago
Probabilistic programming library powered by TensorFlow.js
No known vulnerabilities
matilda
v0.0.2 · 12 years ago
Webscale Inference Engine
No known vulnerabilities
wfunkenbusch-markov-chain-monte-carlo
v0.0.2 · 7 years ago
Markov Chain Monte-Carlo
No known vulnerabilities
@seantalts/stanli
v0.14.3 · 13 hours ago
Full Stan in the browser: stanc3 compiles the model in JS, a WASM runtime lowers it to an op graph and runs NUTS. No server, no C++ toolchain.
No known vulnerabilities
ranjs
v1.32.0 · 1 month ago
Library for generating various random variables.
No known vulnerabilities
stanwasm
v0.7.2 · 7 days ago
Run models written in a subset of the Stan language entirely in the browser. An independent implementation, not a port of Stan.
No known vulnerabilities
@mcmcjs/julia
v0.17.1 · 13 days ago
Julia toolchain detection and the inference runner for MCMC.js.
No known vulnerabilities
@mcmcjs/engine
v0.6.1 · 13 days ago
Runtime and PPL engine contract and registry for MCMC.js.
No known vulnerabilities
tapewasm
v0.3.0 · 5 days ago
Compile an autodiff tape to a WebAssembly module and sample it with nuts-rs, in the browser.
No known vulnerabilities
@stdlib/nlp-lda
v0.2.2 · 7 months ago
Latent Dirichlet Allocation via collapsed Gibbs sampling.
No known vulnerabilities
yagnus
v0.0.17 · 13 years ago
JavaScript stats library containing parallel distributed streaming algorithms to compute important frequently used statistics on big data. The library calculates commonly used univariate, multivariate and discrete statistics. It can be used alone in a webpage, or server-side in nodejs (or both since mss's can be merged), or within a big-data no-sql engines such as hadoop, mongodb.
No known vulnerabilities
@mcmcjs/stan-wasm
v0.2.0 · 2 months ago
Run Stan models in the browser: a WebAssembly sampling runtime with a typed compile-server client and an optional React adapter.
No known vulnerabilities
wminml
v26.4.8 · 5 months ago
70+ ML algorithms across 15 families with AutoML, SIMD acceleration, and zero dependencies. Rust/WASM, browser + Node.
No known vulnerabilities