AlexIoannides/pymc-example-project

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

/ 100

Emerging

105 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 9 / 25

Maturity 8 / 25

Community 18 / 25

Stars

105

Forks

Language

Jupyter Notebook

License

—

Category

Last pushed

Feb 21, 2019

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AlexIoannides/pymc-example-project"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

erdogant/bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks....

pyro-ppl/pyro

Deep universal probabilistic programming with Python and PyTorch

astro-informatics/harmonic

Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection

cdslaborg/paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

tensorflow/probability

Probabilistic reasoning and statistical analysis in TensorFlow