Alternatives and similar repositories for EpiFNP

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

• CausalRivers / causalrivers
  The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.
  ☆15Updated 2 months ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆78Updated 2 years ago
• AdityaLab / FOIL
  ☆35Updated 11 months ago
• egetaga / TimePFN
  Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).
  ☆17Updated last month
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆58Updated 2 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)
  ☆21Updated 2 months ago
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆48Updated last year
• WeizhuQIAN / DeepSTUQ_Pytorch
  ☆10Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆83Updated 2 years ago
• MTS-BenchMark / MvTS
  Multivariate Time Series Repository
  ☆67Updated last year
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆24Updated last year
• andreacini / higp
  Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)
  ☆17Updated 11 months ago
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆13Updated 3 months ago
• JLDeng / SCNN
  [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…
  ☆28Updated 11 months ago
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆59Updated last year
• underdoc-wang / EAST-Net
  [AAAI'22] Event-Aware Multimodal Mobility Nowcasting
  ☆14Updated 2 years ago
• gravins / TG-ODE
  Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
  ☆19Updated 2 months ago
• zbliu98 / GRAM-ODE
  Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"
  ☆17Updated last year
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆55Updated 9 months ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆25Updated 3 years ago
• hqh0728 / CrossGNN
  The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
  ☆32Updated last year
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆32Updated 10 months ago
• luodhhh / DeformableTST
  This is an official implementation of "DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching" (NeurIPS…
  ☆14Updated 7 months ago
• yalavarthivk / GraFITi
  ☆21Updated last month
• yoshall / SINPA
  ☆11Updated 9 months ago
• skzhangPKU / GTA
  Multi-sensor traffic flow forecasting.
  ☆14Updated 2 years ago
• KDDtest / SCNN
  ☆11Updated last year
• AprLie / TrafficStream
  ☆48Updated 3 years ago
• razvanc92 / triformer
  ☆25Updated 2 years ago