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18 search results found

Bayesian Modeling and Probabilistic Programming in Python

Bayesian Neural Networks ⭐ 1,633

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

Boltzmann Machines ⭐ 792

Boltzmann Machines in TensorFlow with examples

Deep Generative Models For Natural Language Processing ⭐ 330

DGMs for NLP. A roadmap.

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

Gpstuff ⭐ 144

GPstuff - Gaussian process models for Bayesian analysis

Cmdstanr ⭐ 126

CmdStanR: the R interface to CmdStan

Regression with Summary Statistics.

Use neural network to construct expressive hierarchical distribution; Optimizing a novel bound with theoretical guarantees; A fast and robust method with accurate uncertainty estimation. (ICML 2018)

Vcd_divergence ⭐ 23

Code to minimize the Variational Contrastive Divergence (VCD)

Autoreparam ⭐ 20

Automatic Reparameterisation of Probabilistic Programs

Generalised Gaussian Processes ⭐ 17

Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods

Bayesian Neural Networks Reading List ⭐ 16

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"

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

A toolbox for inference of mixture models

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

(AIWAE) Improving importance weighted auto-encoders with annealed importance sampling

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