zhangxingcheng Goto Github PK

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1d-cnn-for-cwru

1D CNN for CWRU rolling bearings dataset

a-programmers-guide-to-english

专为程序员编写的英语学习指南 v1.2。在线版本请点 ->

alae

[CVPR2020] Adversarial Latent Autoencoders

amda

This is an implementation of single source multiple target domain adaptation for fault diagnosis

android_data

Some Android learning materials, hoping to help you learn Android development.

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-java

Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).

awesome-java-leetcode

:crown: LeetCode of algorithms with java solution(updating).

awesome-learning-resource

A curated list of all kinds of learning resources, blogs, books, videos and so on. And I'll keep it up to date. 😉

awesome-leetcode

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

awesome-tensorlayer

A curated list of dedicated resources and applications

bearing-fault-diagnosis

domain adaption with LSGAN for bearing fault diagnosis

cdan

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

chinese-programmer-wrong-pronunciation

**程序员容易发音错误的单词

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cwru

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

ddc-transfer-learning

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

deep-learning-fault-diagnosis

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-lab

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

deeplearning-models

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

endnote_tutorial_hand_by_hand

手把手教你使用 EndNote X9/NoteExpress

fast-pytorch

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

few-shot-transfer-learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

gan

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