Bayesian inference with probabilistic programming.
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Updated
Dec 2, 2024 - Julia
Bayesian inference with probabilistic programming.
Bayesian Generalized Linear models using `@formula` syntax.
Utilities of gauge fields coupled with higher-form gauge fields
A Prometheus exporter for the IBM Z HMC
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
An Ansible collection for the IBM Z HMC
Dirac operators for lattice QCD with Julia
A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Measurements for lattice QCD. This is intended to use in LatticeQCD.jl.
Utilities of gauge fields
HMCi is a utility that collects metrics from one or more IBM Power Hardware Management Consoles (HMC), without the need to install agents on logical partitions / virtual machines running on the IBM Power systems.
A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo
HMC Sampling with Bayesian Linear Regression for predicting non-linear heating load dataset. Developed for Bayesian Machine Learning course @ University of Bath, Spring 2024
Manifold Markov chain Monte Carlo methods in Python
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