Bayesian Modeling and Probabilistic Programming in Python
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Updated
Jun 4, 2024 - Python
Bayesian Modeling and Probabilistic Programming in Python
The base NIMBLE package for R
Research experience
Gaussian Process Model Building Interface
Documentation and tutorials for the Turing language
High-performance reactive message-passing based Bayesian inference engine
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Bayesian inference with probabilistic programming.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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
Probabilistic programming via source rewriting
Website: Data Umbrella & PyMC open source sessions
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