Experimental modular probabilistic programming language in Rust, with modeling and inference separated by a generative function trait interface.
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Updated
Apr 26, 2026 - Rust
Experimental modular probabilistic programming language in Rust, with modeling and inference separated by a generative function trait interface.
A Rust library implementing various MCMC diagnostics and utilities, such as Gelman Rubin potential scale reduction factor (R hat), effective sample size, chain splitting, and others.
A Rust library for Bayesian inference with MCMC samplers
Bitmap generation from a single example with convolutions and MCMC - a Rust port of ConvChain.
High-performance optimization algorithms in Rust with Python bindings.
A dual-language exploration of Bayesian kNN: posterior distributions over k and β, built from scratch in Rust and Zig.
GPU-accelerated Bayesian inference for Rust, browser, Python, and R
A little discord bot to generate new quotes from people using a Monte Carlo Markov Chain
A composable Markov Chain Monte Carlo framework for arbitrary state spaces.
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