Probabilistic Programming with Python and Chainer
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Updated
Jul 23, 2018 - Jupyter Notebook
Probabilistic Programming with Python and Chainer
The interface library for probabilistic modeling in HEP
A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.
Extended functionality for univariate probability distributions in PyTorch
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.
Distributional Gradient Boosting Machines
Sum-product networks in Julia.
An extension of Py-Boost to probabilistic modelling
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
A toolbox for inference of mixture models
libreMCM (libre Multi Compartment Modelling) is a free software for carrying out deterministic and probabilistic modelling.
A collection of Methods and Models for various architectures of Artificial Neural Networks
A normalizing flow using Bernstein polynomials for conditional density estimation.
Blackjack Notebook (bjnb): Probabilistic analysis and simulation
Repository to reproduce "Cascade-based Echo Chamber Detection" accepted at CIKM2022
Train and evaluate probabilistic word embeddings with Python.
Deep universal probabilistic programming with Python and PyTorch
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