Stars
A curated list of resources for using LLMs to develop more competitive grant applications.
No-as-a-Service (NaaS) is a simple API that returns a random rejection reason. Use it when you need a realistic excuse, a fun “no,” or want to simulate being turned down in style.
Specification and documentation for the Model Context Protocol
💫 Toolkit to help you get started with Spec-Driven Development
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Simulating Longitudinal and Network Data with Causal Inference Applications
Causal inference, graphical models and structure learning in Julia
Statistical Rethinking Course for Jan-Mar 2023
Generalized Additive Models; a data-driven approach to estimating regression models
Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Bayesian inference with probabilistic programming.
Some code related to blog posts published on the blog Statisfaction
Unbiased Markov chain Monte Carlo with couplings
This repository contains the evaluation data and analysis scripts and results for my master thesis.
Probabilistic programming via source rewriting
Statistical Rethinking course and book package
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
The ebook lives here: https://solomon.quarto.pub/sr/