-
University of Portsmouth
- https://mj-will.github.io/
- https://orcid.org/0000-0003-2198-2974
- @michael_j_will
Highlights
- Pro
Lists (5)
Sort Name ascending (A-Z)
Starred repositories
Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions
Thin-wrapper around the mock package for easier use with pytest
GW search pipeline with higher harmonics from the IAS GW group
A GlobalProtect VPN client for Linux, written in Rust, based on OpenConnect and Tauri, supports SSO with MFA, Yubikey, and client certificate authentication, etc.
It helps to use fixtures in pytest.mark.parametrize
Crystal graph convolutional neural networks for predicting material properties.
A Bayesian inference software package for end-to-end fitting and interpretation of electromagnetic transients
reproduce illustrations and simulation studies from "Quantile Slice Sampling" by Heiner et al.
Implementation of rectified flow and some of its followup research / improvements in Pytorch
JAX implementation of Sequential Neural Likelihood Estimation (SNLE) and Sequential Neural Ratio Estimation (SNRE) simulation-based inference algorithms
Sequential Kalman Monte Carlo samplers for Bayesian inverse problems.
Acronym Dictionary for the Laser Interferometer Space Antenna (LISA) mission.
The fundamental package for scientific computing with Python.
Dirichlet Process Normalising Flow Mixture Model (DPNFMM)
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
A numpyro Gibbs sampler that uses conditioned HMC kernels for each step.
An implimentation of https://arxiv.org/pdf/1704.03338 in numpyro
A simple implementation of Hamiltonian Monte Carlo in JAX.
Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
Automated SMC with Probabilistic Program Proposals, for the Gen PPL.
Continuously tempered Hamiltonian Monte Carlo
Physics-informed neural network for solving fluid dynamics problems