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.
  ☆16Updated 3 months 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)
  ☆167Updated 3 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆79Updated 2 years ago
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago
• AdityaLab / FOIL
  ☆35Updated 11 months ago
• MTS-BenchMark / MvTS
  Multivariate Time Series Repository
  ☆67Updated last year
• 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
• 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
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆174Updated 3 years ago
• egetaga / TimePFN
  Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).
  ☆18Updated 2 months ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆117Updated 3 weeks ago
• zyplanet / TPGNN
  ☆29Updated last year
• zshhans / MSD-Mixer
  [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
  ☆92Updated 10 months ago
• plumprc / RTSF
  Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
  ☆86Updated last year
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated last year
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆84Updated 2 years ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆94Updated 4 months ago
• WeizhuQIAN / DeepSTUQ_Pytorch
  ☆10Updated last year
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆13Updated 4 months ago
• weifantt / Dish-TS
  Time Series Forecasting, Distribution Shift
  ☆90Updated 2 years ago
• gengdd / Awesome-Time-Series-Spatio-Temporal
  Awesome Time-Series and Spatio-Temporal Related
  ☆97Updated last year
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆60Updated last year
• 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
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆56Updated 10 months ago
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆76Updated 3 years ago
• yoshall / SINPA
  ☆11Updated 9 months ago
• yalavarthivk / GraFITi
  ☆22Updated last month
• LMZZML / PriSTI
  ☆85Updated last year
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆122Updated last year
• luodhhh / DeformableTST
  This is an official implementation of "DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching" (NeurIPS…
  ☆15Updated 8 months ago