aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
#计算机科学#A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
#计算机科学#Probabilistic reasoning and statistical analysis in TensorFlow
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Bayesian Data Analysis course at Aalto
#计算机科学#A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
#计算机科学#Notebooks about Bayesian methods for machine learning
#计算机科学#High-quality implementations of standard and SOTA methods on a variety of tasks.
#计算机科学#A simple probabilistic programming language.
A collection of Bayesian data analysis recipes using PyMC3
rstanarm R package for Bayesian applied regression modeling
Data Assimilation with Python: a Package for Experimental Research
#时序数据库#🚂 Python API for Emma's Markov Model Algorithms 🚂
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Probabilistic Inference on Noisy Time Series
#计算机科学#Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
shinystan R package and ShinyStan GUI
Probabilistic Programming and Nested sampling in JAX
The base NIMBLE package for R