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A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Awesome resources on normalizing flows.
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Bayesian Deep Learning: A Survey
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
Deep learning library in plain Numpy.
:microscope: Nano size Theano LSTM module
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Gaussian Processes for Experimental Sciences