thinking-probabilistic
tjboudreaux
Use when forecasting, estimating, or sizing risk — anchor on base rates, give ranges, update prior→likelihood→posterior on evidence, and factor unmeasured quantities int…
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Results: 8
tjboudreaux
Use when forecasting, estimating, or sizing risk — anchor on base rates, give ranges, update prior→likelihood→posterior on evidence, and factor unmeasured quantities int…
pyro-ppl
Deep universal probabilistic programming with Python and PyTorch
probcomp
A general-purpose probabilistic programming system with programmable inference
jmschrei
Fast, flexible and easy to use probabilistic modelling in Python.
JuliaGaussianProcesses
Probabilistic Programming with Gaussian processes in Julia
awslabs
Probabilistic time series modeling in Python
stanfordmlgroup
Natural Gradient Boosting for Probabilistic Prediction
sktime
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python