lucadellalib / bdl-rul-svgdLinks
Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
☆24Updated last year
Alternatives and similar repositories for bdl-rul-svgd
Users that are interested in bdl-rul-svgd are comparing it to the libraries listed below
Sorting:
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆23Updated 2 years ago
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆15Updated 3 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆31Updated 5 months ago
- Multi-Objective Optimization of ELM for RUL Prediction☆14Updated 3 years ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆36Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆19Updated 8 months ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆12Updated last year
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)☆17Updated 2 years ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆15Updated 2 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.☆39Updated last year
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆23Updated 5 months ago
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆11Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- ☆64Updated 4 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 4 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- ☆12Updated last year
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- Code for: A probabilistic estimation of remaining useful life from censored time-to-event data (2024)☆14Updated 5 months ago
- Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable…☆13Updated 5 months ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆19Updated 2 years ago
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆11Updated 3 months ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆10Updated 2 years ago
- ☆33Updated 3 years ago
- ☆22Updated 2 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated last year