Joyplots in Python with matplotlib & pandas 📈

A feed-forward neural network for fast SNR calculation

modified aa.bst with clickable url link in the bibliography

Code for Bayesian Analysis

A unified pseudo-Cl framework

python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011

Doing cosmography with the PISN "line."

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Pokemon terminal themes.

Parallel tempering MCMC sampler package written in Python

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics

A simple implementation of Hamiltonian Monte Carlo in JAX.

Parallel Akima Splines on GPUs

Some additional tools for JAX

DIME (Differential-Independence Mixture Ensemble) MCMC sampling for Python

Differential-Independence Mixture Ensemble (DIME) MCMC sampling for Python

Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python ⚡

A Metropolis-Hastings MCMC sampler accelerated via diffusion models

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Visualizing gravitational-wave systems using Python

An omni-sampler for Bayesian MCMC

A quick example use of ptemcee.

Data Parallel Extension for Numba

Parallel nested sampling

An Embarrasingly Parallel Sampler for Inference Estimation

Combined Hierarchical Inference Model for Electromagnetic and gRavitational Wave Analysis

A simple tool for getting accurate window functions to calculate SD signals from GW.

Slides, notebooks and data for the Machine Learning Course.

Hyper-fast gravitational wave posterior parameter estimation using variational inference. Code used for "Bayesian parameter estimation" paper. Note: This is being repackaged and moving to another r…