Bayesian inference with probabilistic programming.
Bayesian learning and inference for state space models
Bayesian inference in Scala.
Infer.NET is a framework for running Bayesian inference in graphical models
翻译 - Infer.NET是用于在图形模型中运行贝叶斯推理的框架
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Automated Scalable Bayesian Inference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
Neural Network Bayesian Kernel Inference.
Bayesian Generalized Kernel Inference for Terrain Traversability Mapping
Simulation, Bayesian inference and Bayesian model selection for chemical kinetics in Julia
R package for inference in Bayesian networks.
NeurIPS workshop on Advances in Approximate Bayesian Inference
Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
A Scala library for Bayesian Inference and Probabilistic Programming
Python package for causal inference using Bayesian structural time-series models.
A text on Bayesian inference. Applying Bayesian regression and a Bayesian convolutional neural net on data from simulations of the Ising model