Tomek Diederen's repositories
bayesian_nn
Implementation of Bayesian Neural Network in Pyro
blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
metabolic-economics
Matlab code for Metabolic Economics calculations
mfapy
A python toolbox for 13C metabolic flux analysis
MLMC-MIMC-SGD
Stochastic MCMC methods for Bayesian regression with variance reduction (MLMC with antithetic samples, MIMC with antithetic samples, control variate using MAP estimate) using Pytorch
NUTS
python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
pytorch_MCMC
Lightweight MCMC sampling for PyTorch Models aka My Corona Project
stochastic_normalizing_flows
Stochastic Normalizing Flows
temperature_scaling
A simple way to calibrate your neural network.
torchbayes
PyTorch library for Bayesian Deep Learning
TyXe
Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)