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Deep Multi-Wasserstein Unsupervised Domain Adaptation
CNN for mechanical fault diagnosis
Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
Models and examples built with TensorFlow
Matlab code for Time Series Domain Adaptation Problems
Source code for 'Numerical Python' by Robert Johansson
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
Image-to-Image Translation in PyTorch
Collection of generative models in Pytorch version.
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
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
try out bearing fault diagnosis with semi-supervised vae
A tutorial on the t-SNE learning algorithm
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
各类GAN综合在一起,借鉴了hwalsuklee大神的
Collection of generative models in Tensorflow
TensorFlow 2.0 implementation of Improved Training of Wasserstein GANs
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Domain-Adversarial Neural Network in Tensorflow
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
GAN implemented as tensorflow 2.0
A list of all named GANs!
This repository is for the transfer learning or domain adaptive with fault diagnosis.
Transfer Learning Toolkit for Primary Researchers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.