Alternatives and similar repositories for CausalFormer

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

• jarrycyx / UNN
  Causal Neural Nerwork
  ☆120Updated last month
• lmz123321 / proxy_causal_discovery
  Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable
  ☆30Updated last year
• CausalRivers / causalrivers
  The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.
  ☆20Updated 4 months ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆81Updated 2 years ago
• abiodun-ayodeji / Structure-Learning-from-Time-series-Data-with-CausalNex
  Time series data structure learning with NOTEARS and DYNOTEARS
  ☆12Updated last year
• usail-hkust / t-PatchGNN
  Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …
  ☆110Updated 3 months ago
• AdityaLab / FOIL
  ☆36Updated last year
• AdityaLab / lstprompt
  ☆54Updated last year
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆100Updated 3 years ago
• xingyu617 / SimTS_Representation_Learning
  ☆49Updated 2 years ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆84Updated 2 years ago
• VEWOXIC / TGTSF
  Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"
  ☆44Updated 3 months ago
• AdityaLab / MM-TSFlib
  ☆100Updated last month
• yfzhang114 / OneNet
  This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…
  ☆119Updated 8 months ago
• tianzhou2011 / FiLM
  ☆98Updated 2 years ago
• nzl5116190 / Basisformer
  This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…
  ☆95Updated 8 months ago
• aikunyi / time_series_frequency
  Neural Time Series Analysis with Fourier Transform: A Survey
  ☆28Updated 2 years ago
• ForestsKing / GLAFF
  PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…
  ☆122Updated 3 weeks ago
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆77Updated 2 years ago
• BennyTMT / LLMsForTimeSeries
  ☆142Updated last month
• AdityaLab / Time-MMD
  ☆136Updated 6 months ago
• stanliu96 / RATD
  Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"
  ☆67Updated 9 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)
  ☆169Updated 3 years ago
• PingChang818 / TDSTF
  ☆71Updated last year
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆36Updated 4 years ago
• zichuan-liu / ContraLSP
  [ICLR'24] Official PyTorch Implementation of ContraLSP
  ☆31Updated last year
• HaoUNSW / PISA
  ☆145Updated last year
• Mingyue-Cheng / CrossTimeNet
  ☆17Updated 7 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
• start2020 / Awesome-TimeSeries-LLM-FM
  The collection of resources about LLM for Time series tasks
  ☆147Updated last year