96 Open source projects that are alternatives of or similar to Dropout_BBalpha

How to do Bayesian statistical modelling using numpy and PyMC3

👻 Utilities for analyzing Bayesian models and posterior distributions

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Gauss Naive Bayes in Python From Scratch.

Bayesian Segmentation of Spatial Transcriptomics Data

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

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 adress parameter and model uncertainties.

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shinystan R package and ShinyStan GUI

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

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C++ template library for probabilistic programming

cheat sheet for Artificial Intelligence

Tutorial on model assessment, model selection and inference after model selection

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"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

Bayesian Data Analysis demos for Python

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Bayesian Data Analysis demos for R

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A python library for Bayesian time series modeling

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GPstuff - Gaussian process models for Bayesian analysis

rstanarm R package for Bayesian applied regression modeling

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Bayesian Deep Learning: A Survey

Materials of the Nordic Probabilistic AI School 2021.

The posterior R package

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yet another general purpose naive bayesian classifier.

Matlab interface to Stan, a package for Bayesian inference

Materials of the Nordic Probabilistic AI School 2019.

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Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

Seminars DeepBayes Summer School 2018