zamanzadeh / DACADView external linksLinks
Domain Adaptation Contrastive learning model for Anomaly Detection in multivariate time series (DACAD), combining UDA with contrastive learning. DACAD utilizes an anomaly injection mechanism that enhances generalization across unseen anomalous classes, improving adaptability and robustness.
☆34Aug 15, 2025Updated 6 months ago
Alternatives and similar repositories for DACAD
Users that are interested in DACAD are comparing it to the libraries listed below
Sorting:
- CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust repr…☆141Mar 18, 2025Updated 10 months ago
- Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".☆16Apr 18, 2024Updated last year
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)☆20Jul 26, 2023Updated 2 years ago
- Official Implementation of DualTF(WWW24)☆27Apr 30, 2025Updated 9 months ago
- [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".☆35May 26, 2025Updated 8 months ago
- Source code for the paper "Evaluating calibration of deep fault diagnostic models under distribution shift" published in Journal Computer…☆20Jul 3, 2025Updated 7 months ago
- Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable…☆13Feb 26, 2025Updated 11 months ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆13May 12, 2023Updated 2 years ago
- [EAAI 2024] A federated distillation domain generalization framework for machinery fault diagnosis with data privacy☆13Apr 3, 2024Updated last year
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆11Sep 20, 2023Updated 2 years ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆13Jan 17, 2024Updated 2 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆16Jan 13, 2022Updated 4 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆23Jan 4, 2024Updated 2 years ago
- An awesome list of papers on remaining useful life (RUL) prediction from arXiv☆19Jun 12, 2025Updated 8 months ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆25Nov 25, 2024Updated last year
- Official implementations of "Frequency-masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning (AA…☆22Jul 10, 2025Updated 7 months ago
- ACAN: A Plug-and-Play Adaptive Center-Aligned Network for Unsupervised Domain Adaptation☆21Sep 12, 2024Updated last year
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆22Dec 4, 2023Updated 2 years ago
- This is an unofficial implementation of the paper "Sub-Image Anomaly Detection with Deep Pyramid Correspondences".☆22Sep 24, 2023Updated 2 years ago
- ☆18Sep 4, 2023Updated 2 years ago
- This is official implementation of Multi-scale feature reconstruction network for industrial anomaly detection☆19Jul 1, 2025Updated 7 months ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆20Sep 26, 2023Updated 2 years ago
- SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation (ICLR 2024)☆23May 18, 2024Updated last year
- spatio-temporal tasks☆15Jul 15, 2024Updated last year
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆28Oct 17, 2023Updated 2 years ago
- Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)☆18May 26, 2021Updated 4 years ago
- [IEEE TCYB 2024] Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Model Era☆66Dec 5, 2024Updated last year
- [ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching☆156Dec 30, 2025Updated last month
- ☆261Oct 9, 2023Updated 2 years ago
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆29Feb 5, 2024Updated 2 years ago
- Fault detection on real flight data using machine learning☆27Nov 4, 2022Updated 3 years ago
- The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆27Mar 4, 2025Updated 11 months ago
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆30May 31, 2024Updated last year
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆28Apr 13, 2023Updated 2 years ago
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆36Nov 22, 2024Updated last year
- Multivariate Time-Series Anomaly Detection with GNN.☆78Nov 14, 2023Updated 2 years ago
- [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.☆38Jul 7, 2023Updated 2 years ago
- The official repository of Continuous Memory Representation for Anomaly Detection☆33Nov 27, 2024Updated last year
- ModbusTCP Fuzzing and DoS Tool.☆11Aug 8, 2020Updated 5 years ago