Bayesian Modeling and Probabilistic Programming in Python
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Updated
Jun 10, 2024 - Python
Bayesian Modeling and Probabilistic Programming in Python
Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability
Probabilistic reasoning and statistical analysis in TensorFlow
Bayesian inference with probabilistic programming.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
PyAutoFit: Classy Probabilistic Programming
Statically typed probabilistic programming language, feat. GADT
This repository holds slides and code for a full Bayesian statistics graduate course.
The base NIMBLE package for R
Documentation and tutorials for the Turing language
Abstract types and methods for Gaussian Processes.
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
Gaussian processes in JAX.
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
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