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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.

Machine Learning Notes ⭐ 130

机器学习笔记

L2hmc Qcd ⭐ 60

Application of the L2HMC algorithm to simulations in lattice QCD.

Implementation of Stochastic Gradient MCMC algorithms

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

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