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autoencoders_tensorflow

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

awesome-bayesian-deep-learning

A curated list of resources dedicated to bayesian deep learning

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

bayes-nn

Lecture notes on Bayesian deep learning

bayesian-cnn

bayesian-deep-learning

Notes and codes of the topic "Bayesian deep learning"

bayesian-deep-learning-1

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

deep-bayesian-active-learning

Code for Deep Bayesian Active Learning (ICML 2017)

deepbayes-2018

Seminars DeepBayes Summer School 2018

dl-uncertainty

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

dl-with-bayes

Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

mnist-tf

mnist model with tensorflow

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

rcnn

The Tensorflow with tflearn implementation of the RCNN model.

zhihu_zhuanlan_recommend

整理知乎ML/NLP/DL相关领域的专栏信息，计算专栏推荐指数，同时推荐受欢迎文章。

zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow