Importance Sampling Python Packages

pypmc

Clustering with variational Bayes and population Monte Carlo

adapt

Awesome Domain Adaptation Python Toolbox

offline-evaluation

Implementations and examples of common offline policy evaluation methods in Python.

adaptation

Awesome Domain Adaptation Package Toolbox for Tensorflow and Scikit-learn

monte-library

monte-library is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.

pyfpt

Stochastic first-passage time (FPT) simulations using importance sampling.

pytorch-nce

The Noise Contrastive Estimation for softmax output written in Pytorch