cjinxigithub

Awesome-Deep-Fault-Diagnosis

Awesome Deep Fault Diagnosis

Rolling-bearing-fault-diagnosis-use-HHT-and-sdae

1,利用经验模态分解与希尔伯特变换进行轴承数据的包络谱计算2，利用PCA对提取到的包络谱特征进行降维 3，将降维后的数据输入到堆栈降噪自动编码器进行分类器建模

Rolling-bearing-fault-diagnosis-use-wavelet-and-CNN

对轴承数据进行小波包变换提取其中的能量谱特征共256维。将其转化为16*16的矩阵输入进CNN进行故障诊断分类

models

Models and examples built with TensorFlow

Deep-neural-network-Transfer-learning-EEG-MEG-

Fault-Diagnosis-with-ML

Fault Diagnosis with Machine Learning Methods, the dissertation project of my MSc Data Science degree at King's College London

DeepNude-an-Image-to-Image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用GAN图像生成的理论与实践研究。

Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

GANs-collections-tf2.0_keras-eager_mode

This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN

gans-awesome-applications

Curated list of awesome GAN applications and demo

DANN-1

pytorch implementation of Domain-Adversarial Training of Neural Networks

UCR_Time_Series_Classification_Deep_Learning_Baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

dann_tf2.0

DANN in TensorFlow 2.0

DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

FaultNet

A Neural Network Architecture for the Analysis of Unlabeled Time-Series Data

Transfer-Learning-for-Fault-Diagnosis

This repository is for the transfer learning or domain adaptive with fault diagnosis.

DeepLearningWithTF2.0

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

example-code

Example code for the book Fluent Python

bigdata18

Transfer learning for time series classification

gradient_reversal_keras_tf

Keras implementation of a gradient reversal layer for the Tensorflow backend

tensorflow-WGAN-GP

TensorFlow 2.0 implementation of Improved Training of Wasserstein GANs

tensorflow-GANs

各类GAN综合在一起，借鉴了hwalsuklee大神的

Deep-Embedded-Validation

Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)

Delving-deep-into-GANs

Generative Adversarial Networks (GANs) resources sorted by citations

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

Fault_Diagnosis

基于深度学习的滚动轴承故障诊断方法

Awesome-GAN-Resources

🤖A list of resources to help anyone getting started with GANs 🤖

Universal-Domain-Adaptation

Code release for Universal Domain Adaptation(CVPR 2019)

DeepDomainAdaptation

Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)

generative_adversarial_networks_101

Keras implementations of Generative Adversarial Networks. GAN, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.