Alternatives and similar repositories for EpiFNP

Users that are interested in EpiFNP are comparing it to the libraries listed below

• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆81Updated 3 years ago
• andreacini / higp
  Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)
  ☆21Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆87Updated 3 years ago
• CausalRivers / causalrivers
  The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.
  ☆34Updated 2 months ago
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆61Updated 2 years ago
• zyplanet / TPGNN
  ☆32Updated last year
• Z-GCNETs / Z-GCNETs
  ☆42Updated 4 years ago
• Graph-Machine-Learning-Group / grin
  Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
  ☆171Updated 3 years ago
• Graph-Machine-Learning-Group / taming-local-effects-stgnns
  Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)
  ☆22Updated 7 months ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated last year
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• AdityaLab / FOIL
  ☆42Updated last year
• plumprc / RTSF
  Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
  ☆91Updated 2 years ago
• luodhhh / DeformableTST
  This is an official implementation of "DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching" (NeurIPS…
  ☆19Updated last year
• yoshall / SINPA
  ☆14Updated 3 months ago
• LMZZML / PriSTI
  ☆90Updated 2 years ago
• MTS-BenchMark / MvTS
  Multivariate Time Series Repository
  ☆69Updated last year
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆176Updated 3 years ago
• razvanc92 / triformer
  ☆25Updated 3 years ago
• gravins / TG-ODE
  Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
  ☆20Updated 7 months ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆97Updated 3 weeks ago
• usail-hkust / ASeer
  The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…
  ☆28Updated last year
• egetaga / TimePFN
  Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).
  ☆22Updated 3 months ago
• weifantt / Dish-TS
  Time Series Forecasting, Distribution Shift
  ☆96Updated 2 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆120Updated 3 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆132Updated last year
• WeizhuQIAN / DeepSTUQ_Pytorch
  ☆11Updated last year
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆16Updated 8 months ago
• hanxiao0607 / AERCA
  AERCA: Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery (ICLR 2025 Oral)
  ☆61Updated 5 months 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