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D3R
PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)LstmAE
PyTorch implementation of LstmAE (Outlier Detection for Multidimensional Time Series Using Deep Neural Networks)NLP-Study
NLP-StudySTTN
PyTorch implementation of STTN (Spatial-Temporal Transformer Networks for Traffic Flow Forecasting)MTAD_GAT
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Network)Autoformer
PyTorch implementation of Autoformer (Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting)Informer
PyTorch implementation of Informer (Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting)AnomalyTransformer
PyTorch implementation of AnomalyTransformer (Anomaly transformer: Time series anomaly detection with association discrepancy)Paper-Implementation
Implementation code for some papers I have studied.TCN
PyTorch implementation of TCN(An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling)LLMTIME
PyTorch implementation of LLMTIME (Large Language Models Are Zero-Shot Time Series Forecasters)TSF-Library
An Open-source Llibrary for Long-term Time Series Forecasting Task.VAE_anomaly_dection
PyTorch implementation of VAE-anomaly-dection (Variational Autoencoder based Anomaly Detection using Reconstruction Probability)Squeeze
PyTorch implementation of Squeeze (Generic and Robust Localization of Multi-dimensional Root Causes)TimeGrad
Transformers
Explore the performance of Transformer models with different attention mechanisms on long-sequence prediction tasks.ConvLstm
PyTorch implementation of ConvLSTM(Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting)MemStream
PyTorch implementation of MemStream (MemStream:Memory-Based Streaming Anomaly Detection)idcard_identity
基于opencv+cnn的身份证号码识别Transformer
PyTorch implementation of Transformer (Attention Is All You Need)AIOps
Code implementation of my undergraduate graduation project AIOps.GraFITi
PyTorch implementation of GraFITi (GraFITi: Graphs for Forecasting Irregularly Sampled Time Series)GDN
About PyTorch implementation of GDN (Graph Neural Network-Based Anomaly Detection in Multivariate Time Series)DCdetector
PyTorch implementation of DCdetector (DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection)Love Open Source and this site? Check out how you can help us