approximate-inference topic
sqair
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
bcpd
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
awesome-machine-learning-robotics
A curated list of resources about Machine Learning for Robotics
Dropout_BBalpha
Implementations of the ICML 2017 paper (with Yarin Gal)
input-inference-for-control
Input Inference for Control (i2c), a control-as-inference framework for optimal control
Bayesian-Neural-Networks-Reading-List
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...
approxposterior
A Python package for approximate Bayesian inference and optimization using Gaussian processes