BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
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Updated
Jun 3, 2024 - Python
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Material for course ADA511 at HVL
Material for course ADA511 at HVL
The base NIMBLE package for R
Bayesian Modeling and Probabilistic Programming in Python
Generalised Bayesian inversion framework
Bayesian inference with probabilistic programming.
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
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