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cdan

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

cs229

Stanford CS229 (Autumn 2017)

cwru

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms-迁移学习各种方法代码

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningbook-chinese

Deep Learning Book Chinese Translation

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

git-demo

demo for the usage of github

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

json

JSON for Modern C++

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

machine-learning-session

mcd

A simple implentment of Maximum Classifier Discrepancy for Unsupervised Domain Adaptation with pytorch

ml_latex

summary by latex

mmdetection

Open MMLab Detection Toolbox and Benchmark

pwc

Papers with code. Sorted by stars. Updated weekly.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

tensorflow

some code and example about tensorflow

transferlearning

Everything about Transfer Learning and Domain Adaptation--最新的迁移学习情况-王jin东