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awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

bayesian-neural-networks

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

cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

dl-uncertainty

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

first

lala

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

show-me-the-code

Python 练习册，每天一个小程序

what

Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"