Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
#计算机科学#Bayesian inference with probabilistic programming.
#计算机科学#Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Manifold Markov chain Monte Carlo methods in Python
A C++ library of Markov Chain Monte Carlo (MCMC) methods
A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
Bayesian Generalized Linear models using `@formula` syntax.
A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
#计算机科学#A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More ...
Lightweight MCMC sampling for PyTorch Models aka My Corona Project
A pure Python client library for the IBM Z HMC Web Services API
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
tmLQCD is a freely available software suite providing a set of tools to be used in lattice QCD simulations. This is mainly a HMC implementation (including PHMC and RHMC) for Wilson, Wilson Clover and ...
A Prometheus exporter for the IBM Z HMC