probcomp Goto Github PK
Name: MIT Probabilistic Computing Project
Type: Organization
Location: Cambridge, MA
Name: MIT Probabilistic Computing Project
Type: Organization
Location: Cambridge, MA
Haskell prototype to accompany the paper "ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs"
Experimental port of ADEV to Julia
Code accompanying the paper "Automating Involutive MCMC using Probabilistic and Differentiable Programming"
Tech report writeup of Gen's involution MCMC construct
Bayes3D
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
BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
BayesDB contributions, including plotting, helper methods, and examples
Research workflows made easy, locally and in the Cloud.
Library of composable generative population models which serve as the modeling and inference backend of BayesDB.
Minimal implementation of composable generative population models for Bayesian synthesis of probabilistic programs.
Intro to genjax and bayes3d concepts.
Cooperative Language-Guided Inverse Plan Search (CLIPS).
Distributed computational science made easy, in Python
A domain-general, Bayesian method for analyzing high-dimensional data tables
A simple application demonstrating some of the capabilities of the Metaprob probabilistic programming language
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
A depth renderer with a simple numpy interface, and a gRPC microservice that serves it.
Minimal OpenGL-based 3D depth renderer in Julia
Developer environment for probcomp repos
Low-level primitives for collapsed Gibbs sampling in python and C++
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model
An experimental fork of ForwardDiff.jl to support differentiation with respect to an a-priori unknown number of parameters
This repository exists to collect comments on the Gen blog.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.