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09_turbofan_rul

Remaining useful life prediction for turbofan engine data (C-MAPSS)

attention_based_multihead_model_for_aircraft_engine_rul_prediction_

Attention-based multihead model for optimized aircraft engine remaining useful life prediction

battery-rul-estimation

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

bayesianrecurrentnn

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

bertwithpretrained

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework

c-mapss-full-dataset-

完整的航空发动机一维卷积神经网络训练模型

c-mapss_problem

chinesener

A neural network model for Chinese named entity recognition

dalstm_pm

Code for the paper "LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances"

dast

The code of DAST

deep-belief-neural-networks-elm-

deep-learning-in-phm

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

denoising-neural-network

This filder contains most important works that i have made with deoinsing Autoencoders.

edward2

A simple probabilistic programming language.

fdia-pdm

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

handson-ml2

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.

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

keras-tcn

Keras Temporal Convolutional Network.

keras_detect_tool_wear

Tool wear prediction by residual CNN

lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

models

Models and examples built with TensorFlow

mstsdn-for-rul-prediction-of-aero-engine

Multi-Scale Temporal-Spatial Feature-based Hybrid Deep Neural Network (MSTSDN) for Predicting RUL of Aero-engine.

nasa_rul_-cmaps-

Remaining Useful Life (NASA CMAPS Dataset)

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

remaining-useful-life-estimation-variational

rul-net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

self-supervised-ssl

Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision".

stacked-dcnn-rul-phm21

Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.

tcn

Sequence modeling benchmarks and temporal convolutional networks