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Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"
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🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
These codes realize data transformation and simple data processing for fault diagnosis.
Project about bearing fault diagnosis using transfer learning.
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
A collection of implementations of deep domain adaptation algorithms
DeepGNN is a framework for training machine learning models on large scale graph data.
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Traffic flow predict. Implementation of graph convolutional network with PyTorch
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Source codes for paper "Hierarchical hyper-Laplacian prior for weak fault feature enhancement"
The intelligent fault diagnosis methods of HNU IDG
the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rather than timesteps in the origin project。
Local structure outlier factor
Repository containing notebooks of my posts on Medium
Models to warm-start student pass/fail performance prediction trained using meta-transfer learning on 26 courses, 100k students, and millions of interactions. Published at L@S 2022.
The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"
Multidimensional Time Series Prediction by using LSTM
Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute
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.