Pinned Repositories
DAST
Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction
DeepSSM_SysID
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
DT_inverse_design
Predicting spectral emissivity of particles from a given material and geometry using decision trees and random forest.
Informer2020
"Informer" accepted by AAAI 2021.
mlops-zoomcamp
Free MLOps course from DataTalks.Club
PyTorch-Transformer-for-RUL-Prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
Remaining-Useful-Life-Estimation-Variational
spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers.
osmansa2's Repositories
osmansa2/DAST
Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction
osmansa2/DeepSSM_SysID
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
osmansa2/DT_inverse_design
Predicting spectral emissivity of particles from a given material and geometry using decision trees and random forest.
osmansa2/Informer2020
"Informer" accepted by AAAI 2021.
osmansa2/mlops-zoomcamp
Free MLOps course from DataTalks.Club
osmansa2/PyTorch-Transformer-for-RUL-Prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
osmansa2/Remaining-Useful-Life-Estimation-Variational
osmansa2/spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers.