yanqing132

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Code

attentive-neural-processes

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

rul_codes_open

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

PHMGNNBenchmark

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

Wind-Turbine-Data

This is wind turbine data use to make a IA that predict failure

PHM-Datasets

Collection of datasets related to prognostics and health management

RUL-RVE-Pytorch

Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estimation"