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followers: 23.0 following: 14.0 repos: 32.0 gists: 0.0

Name: Chengsen Wang

Type: User

Company: Beijing University of posts and Telecommunications

Bio: A PhD student from BUPT, interested in time series analysis.

Twitter: chengsen1999

Location: Beijing

Chengsen Wang's Projects

aiops

Code implementation of my undergraduate graduation project AIOps.

anomalytransformer

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

convae

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

convlstm

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

d3r

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

dcdetector

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

ddpm

PyTorch implementation of DDPM (Denoising Diffusion Probabilistic Models)

deeplog

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

fedavg

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

gat

PyTorch implementation of GAT (Graph Attention Networks)

gcn

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

gdn

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

grafiti

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

kalmanfilter

Kalman filter implemented in python (numpy & pytorch)

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)

ltsf-ads

An Open-source Llibrary for Long-term Time Series Forecasting Alleviating Distribution Shift.

memae

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

memstream

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

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.

prefixtuning

Prefix Tuning for T5 Small

simsiam

PyTorch implementation of SimSiam (Exploring Simple Siamese Representation Learning)

squeeze

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

sttn

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

supcon

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

tcn

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

transformer

PyTorch implementation of Transformer (Attention Is All You Need)

tsf-library

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

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