ForestsKing

AnomalyTransformer

PyTorch implementation of AnomalyTransformer (Anomaly transformer: Time series anomaly detection with association discrepancy)

D3R

PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)

GLAFF

PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (NeurIPS 2024)

LLMTIME

PyTorch implementation of LLMTIME (Large Language Models Are Zero-Shot Time Series Forecasters)

LstmAE

PyTorch implementation of LstmAE (Outlier Detection for Multidimensional Time Series Using Deep Neural Networks)

MTAD_GAT

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Network)

NLP-Study

NLP-Study

Paper-Implementation

Implementation code for some papers I have studied.

STTN

PyTorch implementation of STTN (Spatial-Temporal Transformer Networks for Traffic Flow Forecasting)

TCN

PyTorch implementation of TCN(An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling)

ForestsKing/D3R

PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)

ForestsKing/LstmAE

PyTorch implementation of LstmAE (Outlier Detection for Multidimensional Time Series Using Deep Neural Networks)

ForestsKing/STTN

PyTorch implementation of STTN (Spatial-Temporal Transformer Networks for Traffic Flow Forecasting)

ForestsKing/LLMTIME

PyTorch implementation of LLMTIME (Large Language Models Are Zero-Shot Time Series Forecasters)

ForestsKing/MTAD_GAT

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Network)

ForestsKing/Paper-Implementation

Implementation code for some papers I have studied.

ForestsKing/TCN

PyTorch implementation of TCN(An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling)

ForestsKing/AnomalyTransformer

PyTorch implementation of AnomalyTransformer (Anomaly transformer: Time series anomaly detection with association discrepancy)

ForestsKing/KalmanFilter

Kalman filter implemented in python (numpy & pytorch)

ForestsKing/TSF-Library

An Open-source Llibrary for Long-term Time Series Forecasting Task.

ForestsKing/VAE_anomaly_dection

PyTorch implementation of VAE-anomaly-dection (Variational Autoencoder based Anomaly Detection using Reconstruction Probability)

ForestsKing/GraFITi

PyTorch implementation of GraFITi (GraFITi: Graphs for Forecasting Irregularly Sampled Time Series)

ForestsKing/Squeeze

PyTorch implementation of Squeeze (Generic and Robust Localization of Multi-dimensional Root Causes)

ForestsKing/ConvLstm

PyTorch implementation of ConvLSTM(Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting)

ForestsKing/DCdetector

PyTorch implementation of DCdetector (DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection)

ForestsKing/MemStream

PyTorch implementation of MemStream (MemStream:Memory-Based Streaming Anomaly Detection)

ForestsKing/AIOps

Code implementation of my undergraduate graduation project AIOps.

ForestsKing/GDN

About PyTorch implementation of GDN (Graph Neural Network-Based Anomaly Detection in Multivariate Time Series)

ForestsKing/Transformer

PyTorch implementation of Transformer (Attention Is All You Need)

ForestsKing/DDPM

PyTorch implementation of DDPM (Denoising Diffusion Probabilistic Models)

ForestsKing/DeepLog

PyTorch implementation of DeepLog (DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning)

ForestsKing/FedAvg

PyTorch implementation of FedAvg (Communication-Efficient Learning of Deep Networks from Decentralized Data)

ForestsKing/ForestsKing

ForestsKing/ForestsKing.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

ForestsKing/GCN

PyTorch implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks)

ForestsKing/MemAE

PyTorch implementation of MemAE (Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection)

ForestsKing/PrefixTuning

Prefix Tuning for T5 Small

ForestsKing/SimSiam

PyTorch implementation of SimSiam (Exploring Simple Siamese Representation Learning)

ForestsKing/SupCon

PyTorch implementation of SupCon (Supervised Contrastive Learning) and SimCRL (A Simple Framework for Contrastive Learning of Visual Representations)

ForestsKing/VAE

PyTorch implementation of VAE (Auto-Encoding Variational Bayes)