Deep universal probabilistic programming with Python and PyTorch
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
a python framework to build, learn and reason about probabilistic circuits and tensor networks
A collection of Methods and Models for various architectures of Artificial Neural Networks
Sum-product networks in Julia.
A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.
Distributional Gradient Boosting Machines
An extension of Py-Boost to probabilistic modelling
A normalizing flow using Bernstein polynomials for conditional density estimation.
A toolbox for inference of mixture models
Repository to reproduce "Cascade-based Echo Chamber Detection" accepted at CIKM2022
Extended functionality for univariate probability distributions in PyTorch
Blackjack Notebook (bjnb): Probabilistic analysis and simulation
Train and evaluate probabilistic word embeddings with Python.
Probabilistic Programming with Python and Chainer
libreMCM (libre Multi Compartment Modelling) is a free software for carrying out deterministic and probabilistic modelling.
Materials for my course SOCI 3040, Quantitative Research Methods
LaTeX source code for my doctoral dissertation "Probabilistic Methods for High-Resolution Metagenomics". Available from the digital repository of the University of Helsinki at https://helda.helsinki.fi/handle/10138/349862.
The interface library for probabilistic modeling in HEP
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