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MIT Probabilistic Computing Project (@probcomp)

probcomp

Stars
5,217
Global Org. Rank 4,424 (Top 2 %)
Registered over 12 years ago
Most used languages

Julia
50.0 %

Python
19.2 %

Jupyter Notebook
14.1 %

Clojure
5.1 %

Haskell
3.8 %

C
2.6 %

Makefile 1.3 %

C++
1.3 %

JavaScript
1.3 %

Shell
1.3 %
Location 🇺🇸 United States
Country Total Rank 2,093
Country Ranking

Julia
2

Haskell
269

Clojure
586

Jupyter Notebook
774

Makefile 820

Python
961

C
3,469

C++
5,805

JavaScript
6,018

Gen.jl

A general-purpose probabilistic programming system with programmable inference

bayeslite

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

BayesDB

A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself. New implementation in http://github.com/probcomp/bayeslite

crosscat

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

PClean

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

metaprob

An embedded language for probabilistic programming and meta-programming.

gen-quickstart

Gen learning material as Jupyter notebooks

Jupyter Notebook

LLaMPPL

A domain-specific probabilistic programming language for modeling and inference with language models

hfppl

Probabilistic programming with HuggingFace language models

adev

Haskell prototype to accompany the paper "ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs"

sppl

Probabilistic programming system for fast and exact symbolic probabilistic inference

Genify.jl

Automatically convert Julia methods to Gen functions.

fast-loaded-dice-roller

The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions

trcrpm

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

Jupyter Notebook

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.

bayes3d

Jupyter Notebook

GenParticleFilters.jl

Building blocks for simple and advanced particle filtering in Gen.

GenSMCP3.jl

Automated SMC with Probabilistic Program Proposals, for the Gen PPL.

GenGPT3.jl

GPT-3 as a generative function in Gen.

GenExperimental.jl

Featherweight embedded probabilistic programming language and compositional inference programming library

notebook

jupyter/datascience-notebook with probcomp libraries

Jupyter Notebook

Gen.clj

A general-purpose probabilistic programming system with programmable inference.

ThreeDP3

Jupyter Notebook

iventure

An interactive, browser-based probabilistic programming environment.

optimal-approximate-sampling

Optimal Approximate Sampling from Discrete Probability Distributions

autoimcmc

Code accompanying the paper "Automating Involutive MCMC using Probabilistic and Differentiable Programming"

programmable-vi-pldi-2024

Probabilistic programming with programmable variational inference.

Jupyter Notebook

Cloudless

Distributed computational science made easy, in Python

CLIPS.jl

Cooperative Language-Guided Inverse Plan Search (CLIPS).

GenTF

TensorFlow plugin for Gen probabilistic programming system.

haskell-trace-types

Prototype of the system described in "Trace Types and Denotational Semantics for Sound Programmable Inference in Probabilistic Languages"

developer

Developer environment for probcomp repos

bdbcontrib

BayesDB contributions, including plotting, helper methods, and examples

ADEV.jl

Experimental port of ADEV to Julia

GenViz

A visualization library for probabilistic programming in Gen.

pldi2019-gen-experiments

Experiments for PLDI 2019 submission on Gen

Jupyter Notebook

InversePlanning.jl

Agent modeling and inverse planning, using PDDL and Gen.

b3d

Jupyter Notebook

haxcat

Experimental educational implementation of CrossCat in Haskell

SPPL.jl

A small DSL for programming sppl across PythonCall.jl

packaging

Packaging for probcomp software.

PoseComposition.jl

GenVariableElimination.jl

Experimental package for variable elimination in factor graphs derived from generative functions

SpikingInferenceCircuits.jl

GenDistributions.jl

Use Distributions.jl distributions from within Gen

GenTraceKernelDSL.jl

A DSL for defining stochastic maps between traces of Gen generative functions

gen-finance

GenPyTorch.jl

Gen plugin to allow PyTorch computations to be used as Gen generative functions.

probcomp-stack

MIT Probabilistic Computing Project software stack

GenSP.jl

Probabilistic programming library extending Gen with support for Stochastic Probabilities

Gen2DAgentMotion.jl

Components for building generative models of the motion of an agent moving around a 2D environment.

GenExamples.jl

Gen examples with a Travis CI build that tests that they run

GenFlux.jl

InverseGraphics

Jupyter Notebook

curve-fitting

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

bayesrest

cgpm2

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

Jupyter Notebook

TracedRandom.jl

Make Julia code probabilistic-programming-ready by allowing calls to `rand` to be annotated with traced addresses.

nips2017-aide-experiments

Experiments and figure generation for NIPS 2017 paper on AIDE

parallel_map

Simple parallel mapping utility for Python 3.

gen-examples-perception

Examples of Gen applied to perception problems

GenFluxOptimizers.jl

A Gen plugin for using Flux's optimizers to fit a probabilistic program's parameters

aistats2023-smcp3

Circuits.jl

GenDirectionalStats.jl

Distributions on spaces of rotations and other spatial spaces.

tutorial_highlighter

Python package for generating PNGs of code and math with custom highlighted regions using LaTeX

ravi-uai-2022

Code to accompany the paper "Recursive Monte Carlo and Variational Inference with Auxiliary Variables"

SMC.jl

A Julia implementation of generic sequential Monte Carlo (SMC) and conditional SMC.

inferenceql.viz

DynamicForwardDiff.jl

An experimental fork of ForwardDiff.jl to support differentiation with respect to an a-priori unknown number of parameters

GenRedner.jl

Gen.jl wrapper for the Redner differentiable renderer

bayeslite-apsw

GenPOMDPs.jl

GLRenderer.jl

High FPS rendering. Supports Depth, RGB, and RGB+Texture

DepthRenderer

Minimal OpenGL-based 3D depth renderer in Julia

durablevs

DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model

Jupyter Notebook

JAX.jl

A wrapper package for using JAX from Julia via PythonCall.

GenPseudoMarginal.jl

Sequential Monte Carlo and annealed importance sampling inference library for Gen