Bayesian inference with probabilistic programming.

Please do not feed the models

Julia Animations and Visualizations

An optimized graphs package for the Julia programming language

Repository of best practices for deep learning in Julia, inspired by fastai

A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.

Julia package for text analysis

Implementation of normalising flows and constrained random variable transformations

Implementations of the models from the Statistical Rethinking book with Turing.jl

Julia package for simulating Dynamics on Networks

A unified interface for sequential, threaded, and distributed fold

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains

Simple particle filter implementation in Julia - works with POMDPs.jl models or others.

MCMC Inference for a Hawkes process in Julia

Example of distributed learning in Julia

Shared Files