PyMC3 is a Python library for probabilistic programming implementing Markov chain Monte Carlo (MCMC) algorithms.
Pros
- Python ecosystem integration
- Intuitive syntax
Cons
- Limited support for complex models
- Slower performance compared to C++ libraries
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MC Stan is a probabilistic programming language for statistical inference.
PyMC3 is a Python library for probabilistic programming implementing Markov chain Monte Carlo (MCMC) algorithms.
JAGS (Just Another Gibbs Sampler) is a program for analysis of Bayesian models using Markov Chain Monte Carlo (MCMC) simulation.
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow.
Pyro is an open-source probabilistic programming framework for Python built on PyTorch. It is designed for researchers and machine-learning engineers who need...
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