A simple toy problem for testing hierarchical inference (extreme deconvolution) in the case where the individual object's model uncertainties are characterised by a set of posterior samples, rather than Gaussian-approximated likelihoods.

bark

🔊 Text-Prompted Generative Audio Model

bash-scripts

Useful scripts

boolean.py

Implements boolean algebra in one module.

bubbleimg

Python package for imaging extended-emission line regions with astro survey data

code-review

Hertfordshire astronomers code review sessions

code-review.sh

Script to use code-review with

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

daft

Render some probabilistic graphical models using matplotlib

decorrelator

Estimate linear relations and Correlation coefficients with Bayes!

density-deconvolution

Code for the Density Deconvolution with Normalizing Flows paper.

django-bootstrap3

Bootstrap 3 integration with Django.

docker-phlex

Docker Container for Phlex

easyaasjobs

Scrape the AAS job registry and compile deadlines for jobs of interest.

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

eeg-feature-generation

Generate statistical features from Electroencephalographic data

elfi

ELFI - Engine for Likelihood-Free Inference

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

epmgp

expectation propagation for multivariate gaussian probabilities

extreme-deconvolution

Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

gaia-xd

Empirical colour magnitude models

galsim

The modular galaxy image simulation toolkit. Documentation:

gantt

simple gantt chart in python

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