Bayesian inference with probabilistic programming.
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Updated
Jun 2, 2024 - Julia
Bayesian inference with probabilistic programming.
The base NIMBLE package for R
Greedy search for the best Minimally Complex spin Model: "community detection" in binary data.
Reference implementation of the Global Brain algorithm.
BAyesian Model-Building Interface (Bambi) in Python.
Variational Inference for Multiply-Reported social network data https://doi.org/10.1093/jrsssa/qnac004
multilevelcoda R package for Bayesian compositional multilevel modelling
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Deep universal probabilistic programming with Python and PyTorch
Preheat your MCMC
An R package for Bayesian structural equation modeling using INLA
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
Data and code to Estévez, Kisfalusi & Takács (2022) 'More than one's negative ties: The role of friends' antipathies in high school gossip'. Social Networks, 70, 77-89.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Population Synthesis in transport modeling
Bayesian Modeling and Probabilistic Programming in Python
📖 R 语言数据分析实战(写作中) Data Analysis in Action Using R
R package implementing Bayesian NMF using various models and prior structures.
Distributed and parallel sampling from intractable distributions
Gaussian Process Model Building Interface
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