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probabilistic-modeling

Here are 11 public repositories matching this topic...

pyro

pyro-ppl / pyro

Deep universal probabilistic programming with Python and PyTorch

python machine-learning deep-learning pytorch probabilistic-programming bayesian bayesian-inference variational-inference probabilistic-modeling

Updated Apr 24, 2025
Python

april-tools / cirkit

a python framework to build, learn and reason about probabilistic circuits and tensor networks

probabilistic-modeling tractable-models probabilistic-inference probabilistic-circuits probabilistic-machine-learning probabilistic-reasoning tensor-network-decompositions tractable-inference tensor-net

Updated Apr 23, 2025
Python

kourouklides / artificial_neural_networks

A collection of Methods and Models for various architectures of Artificial Neural Networks

python data-science machine-learning deep-neural-networks deep-learning tensorflow machine-learning-algorithms keras neural-networks artificial-neural-networks machinelearning bayesian-inference variational-inference edward probabilistic-models bayesian-neural-networks probabilistic-modeling bayesian-learning edward2

Updated Jul 30, 2024
Python

nsg-ethz / netdice

A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.

networking verification networks network-analysis probabilistic-modeling probabilistic-inference

Updated Jul 12, 2021
Python

StatMixedML / Py-BoostLSS

An extension of Py-Boost to probabilistic modelling

machine-learning gradient-boosting-machine gamlss quantile-estimation uncertainty-estimation probabilistic-modeling multi-target-regression distributional-regression

Updated Jan 19, 2023
Python

hanyas / mimo

A toolbox for inference of mixture models

clustering regression inference vi gmm mcmc variational-inference markov-chain-monte-carlo gibbs-sampling hierarchical-models dirichlet-process-mixtures variational-bayes probabilistic-modeling stochastic-variational-inference mixture-of-experts mixture-models infinite-mixtures infinite-regression-mixtures bayesian-gmm

Updated May 29, 2023
Python

mminici / Echo-Chamber-Detection

Repository to reproduce "Cascade-based Echo Chamber Detection" accepted at CIKM2022

community-detection community-detection-algorithm polarization probabilistic-modeling probabilistic-model echo-chamber echo-chambers

Updated Mar 13, 2024
Python

shchur / survival_distributions

Extended functionality for univariate probability distributions in PyTorch

pytorch survival-analysis probabilistic-modeling temporal-point-processes torch-distributions

Updated Jun 28, 2022
Python

ninpnin / probabilistic-word-embeddings

Train and evaluate probabilistic word embeddings with Python.

tensorflow word-embeddings probabilistic-modeling

Updated Mar 5, 2025
Python

matthewfeickert / pydistcore

The interface library for probabilistic modeling in HEP

python statistics high-energy-physics probabilistic-modeling statistical-modeling

Updated Oct 13, 2019
Python

edwardnhw / Bayesian-Neural-Networks-and-Classification

This project implements probabilistic machine learning methods, including Bayesian classification, Gaussian discriminant models, and dropout in neural networks. It explores softmax regression, log-likelihood optimization, and performance evaluation using accuracy, ROC curves, and confusion matrices.

machine-learning deep-learning naive-bayes bayesian-methods neural-networks pattern-recognition python-machine-learning handwritten-digit-recognition probabilistic-modeling gaussian-classifier generative-models mlp-classifier digit-classification classification-algorithms multivariate-gaussian

Updated Mar 5, 2025
Python

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