A Minecraft Launcher which is multi-functional, cross-platform and popular

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Bayesian inference with probabilistic programming.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Hello Minecraft! Launcher for Android

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

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Hello Minecraft! Launcher for Android

Manifold Markov chain Monte Carlo methods in Python

HMC5883L Triple Axis Digital Compass Arduino Library

A C++ library of Markov Chain Monte Carlo (MCMC) methods

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

A native Julia code for lattice QCD with dynamical fermions in 4 dimension.

The all-in-one cosmetics solution created by HibiscusMC Team, for HibiscusMC.

HMC Easier Access to System APIs 简化连接winapi的过程的node c++模块

Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"

Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.

Bayesian Generalized Linear models using `@formula` syntax.

MCHMC: sampler from an arbitrary differentiable distribution

Application of the L2HMC algorithm to simulations in lattice QCD.

HMC5883L full-featured driver library for general-purpose MCU and Linux.

A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.

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 details: "A Primer on Bayesian Neural Networks: Review and Debates"

Lightweight MCMC sampling for PyTorch Models aka My Corona Project

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盒马时钟

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HMCS - Experiments on how to consolidate and manage ACE memories

A pure Python client library for the IBM Z HMC Web Services API