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

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

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

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

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

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Master the creation of Modern UX/UI Websites

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

📄 Awesome CV is LaTeX template for your outstanding job application

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

Counting multiple dice results using OpenCV

A clean, elegant blog theme for hugo

Statistical Rethinking course and book package

Bayesian Data Analysis course at Aalto

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).

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