Alternatives and similar repositories for spartan2-tutorials

Users that are interested in spartan2-tutorials are comparing it to the libraries listed below

• cruiseresearchgroup / TSCP2
  Time Series Change Point Detection based on Contrastive Predictive Coding
  ☆84Updated 3 years ago
• qingsongedu / timeseries-tutorial-kdd-2022
  KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
  ☆104Updated last year
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆92Updated 2 years ago
• VachelHU / EvoNet
  Time-Series Event Prediction with Evolutionary State Graph, WSDM 2021
  ☆93Updated 4 years ago
• petecheng / Time2Graph
  Source codes for Time2Graph model.
  ☆134Updated 5 years ago
• shangzongjiang / MAGNN
  ☆106Updated 11 months ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆178Updated 4 years ago
• mangushev / mtad-gat
  Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network
  ☆106Updated 4 years ago
• VincLee8188 / GMAN-PyTorch
  Implementation of Graph Muti-Attention Network with PyTorch
  ☆170Updated 2 years ago
• jlidw / FluxEV
  Code for the WSDM 2021 paper "FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection".
  ☆21Updated last year
• aikunyi / FourierGNN
  Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"
  ☆235Updated last year
• boreshkinai / fc-gaga
  ☆68Updated 3 years ago
• petecheng / Time2GraphPlus
  Source codes for Time2Graph+ model.
  ☆35Updated 4 years ago
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆194Updated last year
• ranakroychowdhury / TARNet
  Task-Aware Reconstruction for Time-Series Transformer
  ☆62Updated 2 years ago
• EnyanDai / GANF
  Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
  ☆161Updated 2 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆82Updated 3 years ago
• KienMN / STGNN-for-Covid-in-Korea
  Spatio-temporal graph neural network for predicting COVID-19 new cases in Korea.
  ☆34Updated 4 years ago
• huankoh / CST-GL
  Multivariate Time-Series Anomaly Detection with GNN.
  ☆75Updated 2 years ago
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆63Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆88Updated 3 years ago
• agoodge / LUNAR
  LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
  ☆49Updated 5 months ago
• Frank-Wang-oss / FCSTGNN
  ☆124Updated last year
• ML4ITS / mtad-gat-pytorch
  PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https:…
  ☆379Updated last year
• DAMO-DI-ML / CIKM22-TFAD
  Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis
  ☆56Updated 3 years ago
• zackchen-lb / GTA
  Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
  ☆146Updated 3 years ago
• xlwang233 / pytorch-DCRNN
  PyTorch implementation of Diffusion Convolutional Recurrent Neural Network
  ☆51Updated 5 years ago
• eBay / RANSynCoders
  ☆97Updated 2 years ago
• DAMO-DI-ML / AI-for-Time-Series-Papers-Tutorials-Surveys
  A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
  ☆165Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆42Updated 4 years ago