marvinschmitt

ml_collections

ML Collections is a library of Python Collections designed for ML use cases.

multi-workflows

ASPIRE.jl

GIN

Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

shiny-hmc

A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo

easy-gpt

SimBa_PriorElicitation

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

JANA-Paper

Contains the code accompanying the paper "JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models"

flowMC

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

project_modern_ui_ux_gpt3

Master the creation of Modern UX/UI Websites

DeepHierarchicalModelComparison

Deprecated; up-to-date repository at https://github.com/bayesflow-org/Hierarchical-Model-Comparison

Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

bayesfam

bayesim

google-webfonts-helper

A Hassle-Free Way to Self-Host Google Fonts. Get eot, ttf, svg, woff and woff2 files + CSS snippets

MetaUncertaintyPaper

dicecounter

Counting multiple dice results using OpenCV

bayeshear

hugo-theme-cleanwhite

A clean, elegant blog theme for hugo

rethinking

Statistical Rethinking course and book package

BDA_course_Aalto

Bayesian Data Analysis course at Aalto

github-classroom-for-students

awesome-r-learning-resources

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

BayesFlow

A Python library for amortized Bayesian workflows using generative neural networks.