maximilianpi Goto Github PK

andreas-ettner-max-internship

This is the Backup of the 6-week Internship of UR

aranea

bayesian-neural-networks

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

bayesiantools

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

blizsimulations

cnn

CNN Introduction

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

dnn-uncertainties

ftbl

globalewdiversity

Code for the analysis of global earthworm diversity

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hja_analyses_kelpie_clean

istructuremetaco

an R package for the analysis of the internal structure of metacommunities

kbmf

Kernelized Bayesian Matrix Factorization

l2m

Repo for paper "L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation"

learningbayes

Teaching material for Bayesian Statistics

lmmnn

metacommunity_ml

mlstats

mpvae

MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification

pichler-and-hartig-2022

pichler-and-hartig-causal-ml

projects

pydti

randomforestexplainer

A set of tools to understand what is happening inside a Random Forest

ranger

A Fast Implementation of Random Forests

researchskills

Lecture notes for research skills course

rosbakh-pichler-poschlod-2021

rsvp

Code for RSVP-graphs: Fast High-dimensional Covariance Matrix Estimation under Latent Confounding