birl

Deep universal probabilistic programming with Python and PyTorch

A general-purpose probabilistic programming system with programmable inference

Clean PyTorch implementations of imitation and reward learning algorithms

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

Seminars DeepBayes Summer School 2018

Implementations of selected inverse reinforcement learning algorithms.

LightweightMMM ? is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

A collection of Bayesian data analysis recipes using PyMC3

PyTorch implementation of bayesian neural network [torchbnn]