BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
-
Updated
Jun 3, 2024 - Python
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
The base NIMBLE package for R
Bayesian Modeling and Probabilistic Programming in Python
Bayesian inference with probabilistic programming.
fastfilter: Binary fuse & xor filters for Zig (faster and smaller than bloom filters)
Deep universal probabilistic programming with Python and PyTorch
Preheat your MCMC
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
This repository holds slides and code for a full Bayesian statistics graduate course.
A general-purpose probabilistic programming system with programmable inference.
Gaussian Process Model Building Interface
Introduction to Probabilistic Programming
Documentation and tutorials for the Turing language
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
Probabilistic programming via source rewriting
Website: Data Umbrella & PyMC open source sessions
Replication package for paper submission with the same name.
Gaussian processes in JAX.
Add a description, image, and links to the probabilistic-programming topic page so that developers can more easily learn about it.
To associate your repository with the probabilistic-programming topic, visit your repo's landing page and select "manage topics."