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.
☆37Aug 15, 2025Updated 9 months ago
Alternatives and similar repositories for DACAD
Users that are interested in DACAD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust repr…☆147Mar 18, 2025Updated last year
- Official Implementation of DualTF(WWW24)☆27Apr 30, 2025Updated last year
- Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".☆16Apr 18, 2024Updated 2 years ago
- [ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching☆183Dec 30, 2025Updated 4 months ago
- Thesis project about Visual Anomaly Detection based on Self Supervised Learning. The model identifies anomalies from information acquired…☆10Apr 14, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)☆20Jul 26, 2023Updated 2 years ago
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆12Sep 20, 2023Updated 2 years 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
- Welcome to the official repository for the paper "Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain…☆26Apr 1, 2024Updated 2 years ago
- [EAAI 2024] A federated distillation domain generalization framework for machinery fault diagnosis with data privacy☆14Apr 3, 2024Updated 2 years ago
- [KDD 2026] Official implementation of "TimeDistill: Efficient Long-Term Time Series Forecasting with MLPs via Cross-Architecture Distilla…☆26Mar 22, 2026Updated 2 months ago
- [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".☆36May 26, 2025Updated last year
- Artifact evaluation for "E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series" accepted by WWW'24☆13Jul 29, 2024Updated last year
- Official implementations of "Frequency-masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning (AA…☆21Apr 10, 2026Updated last month
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Source code for the paper "Evaluating calibration of deep fault diagnostic models under distribution shift" published in Journal Computer…☆24Jul 3, 2025Updated 10 months ago
- ☆273Oct 9, 2023Updated 2 years ago
- Fault detection on real flight data using machine learning☆29Nov 4, 2022Updated 3 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆13May 12, 2023Updated 3 years ago
- Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable…☆14Feb 26, 2025Updated last year
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆101May 13, 2024Updated 2 years ago
- [ICLR 2025] Official Implementation of "TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting"☆26Mar 10, 2025Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆29Nov 25, 2024Updated last year
- 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
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- The code for the paper "AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models"☆24Aug 28, 2024Updated last year
- MEMTO accepted at NeurIPS 2023☆50Dec 20, 2023Updated 2 years ago
- This is an unofficial implementation of the paper "Sub-Image Anomaly Detection with Deep Pyramid Correspondences".☆23Sep 24, 2023Updated 2 years ago
- This is official implementation of Multi-scale feature reconstruction network for industrial anomaly detection☆18Jul 1, 2025Updated 10 months ago
- Proposed ATS2S model for C-MAPSS dataset.☆16Jan 13, 2022Updated 4 years ago
- Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AA…☆52May 29, 2025Updated last year
- ACAN: A Plug-and-Play Adaptive Center-Aligned Network for Unsupervised Domain Adaptation☆21Sep 12, 2024Updated last year
- Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)☆18May 26, 2021Updated 5 years ago
- Official code for TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents☆38Nov 30, 2025Updated 5 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An awesome list of papers on remaining useful life (RUL) prediction from arXiv☆24May 19, 2026Updated last week
- [IEEE TCYB 2024] Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Model Era☆68Dec 5, 2024Updated last year
- Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection☆22Dec 4, 2023Updated 2 years ago
- ☆18Apr 6, 2021Updated 5 years ago
- The official implementation of SDGL☆40Jul 28, 2024Updated last year
- Single-Source Domain Generalization for Bearing Fault Diagnosis Using Feature-Augmented Adaptive Neuro-Fuzzy Inference System☆11Apr 13, 2024Updated 2 years ago
- Multivariate Time-Series Anomaly Detection with GNN.☆82Nov 14, 2023Updated 2 years ago