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bayes-vis-paper

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS paper and code)

bayesian-analysis

bbn_hiermd

bpl

Bayesian Program Learning model for one-shot learning

brmsmeaserror

college_scorecard

dsp

𝗗𝗦𝗣: Demonstrate-Search-Predict. A framework for composing retrieval and language models for knowledge-intensive NLP.

edward_trial

This houses some of my experiments with the Edward probabilistic programming language from http://edwardlib.org/

knitr_case_studies

Inference case studies in knitr

longevity_elections

Analysis of longevity of governors given outcomes of close elections

mnp

R package for fitting multinomial probit models using Markov chain Monte Carlo

proposition-analysis

Generate Proposition Analysis reports as useful aids for thinking about a topic. Applies OpenAI's GPT4, Serper search, and the `instructor` framework in Python to generate and execute a query plan resulting in a report summarizing evidence for & against the proposition as well as the URLs of the information sources behind the evidence.

python_test

A test of Python & PyMC3 run from R scripts & R Markdown

stan_tutorials

tabcbm

Official Implementation of TMLR's paper: "TabCBM: Concept-based Interpretable Neural Networks for Tabular Data"

virtuoso

Virtuoso-opensource