Bayesian inference with probabilistic programming.
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Updated
Jun 6, 2024 - Julia
Bayesian inference with probabilistic programming.
The base NIMBLE package for R
Documentation and tutorials for the Turing language
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Bayesian Modeling and Probabilistic Programming in Python
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
📖 现代应用统计 Modern Applied Statistics with R, INLA and Stan
Research experience
Gaussian Process Model Building Interface
High-performance reactive message-passing based Bayesian inference engine
fastfilter: Binary fuse & xor filters for Zig (faster and smaller than bloom filters)
Deep universal probabilistic programming with Python and PyTorch
Preheat your MCMC
This repository holds slides and code for a full Bayesian statistics graduate course.
A general-purpose probabilistic programming system with programmable inference.
Introduction to Probabilistic Programming
Probabilistic Programming and Nested sampling in JAX
Automatically identify the subject of posts from the EECS 280 Piazza using natural language processing and machine learning techniques.
Differentiable probabilistic answer set programming
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