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bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesianneuralnets

Bayesian neural networks in PyTorch

bayesiannn

Implementing a bayesian neural network in TensorFlow

bda-exercises

My solutions to exercises from avehtari Baesyan Data Analysis course

bda_course_aalto

Bayesian Data Analysis course at Aalto

bda_r_demos

Bayesian Data Analysis demos for R

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

bmr

Bayesian Macroeconometrics in R

bnn

Bayesian Neural Network in PyTorch

bvar

Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.

bvarrkk

Translation Of Koop And Korobilis BVAR Matlab Code Into R

bvars

R package for Bayesian Vector Autoregression

bvartools

Functions for Bayesian inference of vector autoregressive models

deeptimeseriesmodel

A paper list for Time series modelling, including prediciton and anomaly detection

dun

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

gaussian_processes

master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

ocbnn-public

General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

quantregforest

R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).

turing.jl

Bayesian inference with probabilistic programming.

uncertainty-toolbox

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization