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Remaining useful life prediction for turbofan engine data (C-MAPSS)
Attention-based multihead model for optimized aircraft engine remaining useful life prediction
Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
完整的航空发动机一维卷积神经网络训练模型
A neural network model for Chinese named entity recognition
Code for the paper "LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances"
The code of DAST
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
This filder contains most important works that i have made with deoinsing Autoencoders.
A simple probabilistic programming language.
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
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.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Keras Temporal Convolutional Network.
Tool wear prediction by residual CNN
LAVIS - A One-stop Library for Language-Vision Intelligence
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Models and examples built with TensorFlow
Remaining Useful Life (NASA CMAPS Dataset)
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision".
Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.
Sequence modeling benchmarks and temporal convolutional networks
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
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.