reconcile is another Python package for probabilistic reconciliation of time series forecasts.
Ramsey is a Python package for probabilistic modelling using JAX and Haiku. It implements recent developments in probabilistic machine and deep learning and among other things aims to bring these methods to a larger audience.
clad is a proof-of-concept reverse-mode automatic differentiation package written in Clojure.
is a Python package for probabilistic inference in
R-- is an interpreter for the R language written in C++.
netReg implements network-regularized regression models in R/C++.
cuda-etudes is a selection of numerical CUDA recipes.
pybda is a Python library and command line tool for big data analytics and machine learning scaling to tera byte sized data sets.
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Stan is a state-of-the-art probabilistic programming langauge for Bayesian modeling and high-performance statistical computation.
NumPyro is a lightweight probabilistic programming library that provides a NumPy backend for Pyro. It relies on JAX for automatic differentiation and JIT compilation to CPU/GPU/TPU.