bayesian

pymc-devs/pymc3

pymc-devs/pymc3

April 2, 2021

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
ericmjl/bayesian-stats-modelling-tutorial

ericmjl/bayesian-stats-modelling-tutorial

October 18, 2020

How to do Bayesian statistical modelling using numpy and PyMC3
TheEconomist/us-potus-model

TheEconomist/us-potus-model

June 9, 2020

Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.
Kodemannen/Bayesian-Inference-and-Machine-Learning

Kodemannen/Bayesian-Inference-and-Machine-Learning

May 18, 2020

Using Bayesian regression and Bayesian convolutional neural net on data from simulations of the Ising model
avehtari/BDA_course_Aalto

avehtari/BDA_course_Aalto

March 28, 2020

Bayesian Data Analysis course at Aalto
JavierAntoran/Bayesian-Neural-Networks

JavierAntoran/Bayesian-Neural-Networks

January 10, 2020

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
johnhw/chi_course_2019

johnhw/chi_course_2019

November 9, 2019

ACM SIGCHI 2019 Course on Bayesian Methods for Interaction
pytorch/botorch

pytorch/botorch

November 4, 2019

Bayesian optimization in PyTorch
dragonfly/dragonfly

dragonfly/dragonfly

October 15, 2019

An open source python library for scalable Bayesian optimisation.
AlexIoannides/pymc-example-project

AlexIoannides/pymc-example-project

October 4, 2019

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
AllenDowney/BayesMadeSimple

AllenDowney/BayesMadeSimple

September 29, 2019

Code for a tutorial on Bayesian Statistics by Allen Downey.
aloctavodia/BAP

aloctavodia/BAP

September 21, 2019

Bayesian Analysis with Python (Second Edition)
omerbsezer/Generative_Models_Tutorial_with_Demo

omerbsezer/Generative_Models_Tutorial_with_Demo

September 14, 2019

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
kumar-shridhar/PyTorch-BayesianCNN

kumar-shridhar/PyTorch-BayesianCNN

September 12, 2019

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
krasserm/bayesian-machine-learning

krasserm/bayesian-machine-learning

September 2, 2019

Notebooks related to Bayesian methods for machine learning
rlabbe/Kalman-and-Bayesian-Filters-in-Python

rlabbe/Kalman-and-Bayesian-Filters-in-Python

August 23, 2019

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
paraschopra/bayesian-neural-network-mnist

paraschopra/bayesian-neural-network-mnist

July 31, 2019

Bayesian neural network using Pyro and PyTorch on MNIST dataset
dotnet/infer

dotnet/infer

June 25, 2019

Infer.NET is a framework for running Bayesian inference in graphical models
hibayesian/awesome-automl-papers

hibayesian/awesome-automl-papers

June 19, 2019

A curated list of automated machine learning papers, articles, tutorials, slides and projects
andrewgordonwilson/bayesgan

andrewgordonwilson/bayesgan

February 19, 2019

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
probcomp/bayeslite

probcomp/bayeslite

December 24, 2018

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

October 29, 2018

aka “Bayesian Methods for Hackers”: An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)