time-series-prediction topic

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

ServiceNow

Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)

ztxtech

[ICLR 2024] STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction

MAGICS-LAB

使用Decoder-only的Transformer进行时序预测，包含SwiGLU和RoPE(Rotary Positional Embedding)，Time series prediction using Decoder-only Transformer, Including SwiGLU and RoPE(Rotary Positional Embedding)

liaoyanqing666

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based comp...

yotambraun