Alternatives and similar repositories for causalrivers

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

• AdityaLab / EpiFNP
  Official repo to paper
  ☆12Updated 2 years ago
• egetaga / TimePFN
  Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).
  ☆15Updated 3 weeks ago
• AdityaLab / FOIL
  ☆35Updated 10 months ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆113Updated last year
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆52Updated 9 months ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆78Updated 2 years ago
• djm209 / HSTGODE
  HSTGODE code
  ☆9Updated last year
• usail-hkust / ASeer
  The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…
  ☆22Updated 9 months ago
• MTS-BenchMark / MvTS
  Multivariate Time Series Repository
  ☆66Updated last year
• hongmingli1995 / CR-VAE
  ☆27Updated 2 years ago
• zyplanet / TPGNN
  ☆29Updated 11 months ago
• abiodun-ayodeji / Structure-Learning-from-Time-series-Data-with-CausalNex
  Time series data structure learning with NOTEARS and DYNOTEARS
  ☆12Updated 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…
  ☆57Updated 2 years ago
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆98Updated 3 years ago
• tongnie / C-LoRA
  CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting
  ☆17Updated last month
• SJTU-DMTai / OnlineTSF
  Official implementation of "Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting" (KDD'25), a novel online…
  ☆21Updated 2 months ago
• luodhhh / DeformableTST
  This is an official implementation of "DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching" (NeurIPS…
  ☆13Updated 7 months ago
• zbliu98 / GRAM-ODE
  Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"
  ☆16Updated last year
• yalavarthivk / GraFITi
  ☆19Updated last week
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago
• decisionintelligence / MTSF-DG
  ☆23Updated last year
• LJC-FVNR / CATS
  CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables [ICML 2024]
  ☆20Updated 10 months ago
• razvanc92 / ST-WA
  ☆19Updated 3 years ago
• idea-iitd / Frigate
  ☆15Updated 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
• wwy155 / NsDiff
  ☆16Updated 2 weeks ago
• razvanc92 / triformer
  ☆25Updated 2 years ago
• yoshall / SINPA
  ☆11Updated 8 months ago
• lmz123321 / proxy_causal_discovery
  Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable
  ☆28Updated last year
• Levi-Ackman / Leddam
  [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…
  ☆54Updated 3 months ago