MIT Probabilistic Computing Project

Gen

A general-purpose probabilistic programming system with programmable inference

notebook

jupyter/datascience-notebook with probcomp libraries

metaprob

An embedded language for probabilistic programming and meta-programming.

gen-quickstart

Docker file for building Gen and Jupyter notebooks for tutorials and case studies

bayesrest

trcrpm

Temporally-reweighted Chinese restaurant process mixture models for multivariate time series

cgpm2

Minimal implementation of composable generative population models for Bayesian synthesis of probabilistic programs.

parallel_map

Simple parallel mapping utility for Python 3.

developer

Developer environment for probcomp repos

GenTF

TensorFlow plugin for Gen probabilistic programming system.

GenExperimental.jl

Featherweight embedded probabilistic programming language and compositional inference programming library

bayeslite

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

crosscat

A domain-general, Bayesian method for analyzing high-dimensional data tables

pldi2019-gen-experiments

Experiments for PLDI 2019 submission on Gen

metaprob-viz

Visualization server for Metaprob

GenViz

A visualization library for probabilistic programming in Gen.

gen-project-template

A project template for a project that uses Gen, including Python

Venturecxx

Primary implementation of the Venture probabilistic programming system

cgpm

Library of composable generative population models which serve as the modeling and inference backend of BayesDB.

curve-fitting

A simple application demonstrating some of the capabilities of the Metaprob probabilistic programming language

lein-notebook

jupyter/pyspark-notebook with leiningen and clojure CLI tools

counties-demo

iventure

An interactive, browser-based probabilistic programming environment.

gen-examples-perception

Examples of Gen applied to perception problems

nginx-proxy