yuqinie98 PatchTST issues

yuqinie98 / PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Apache License 2.0

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issues

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question about attention layer shared weight

#113 pluone opened 2 weeks ago
0
outputs和batch_y 序列长度问题

#112 JJJTF opened 1 month ago
0
Question about Table 9.

#111 hughxx opened 2 months ago
0
Question about not applying inverse_transform

#110 DSonDH closed 2 months ago
2
Pretrained Models in Huggingface Repository

#109 shisi-cc opened 2 months ago
0
Stock Price Forecasting using PatchTST model

#108 vivekugale9887 opened 2 months ago
3
Multivariate predict univariate

#107 Alexey322 opened 3 months ago
1
24.3.25)

#106 wschung1113 opened 3 months ago
0
请问论文中的注意力矩阵在代码里怎么输出

#105 gudashuai closed 3 months ago
0
Can this model fit unbalanced panel data(more than one individual)?

#104 Cyril-Lee0123 opened 3 months ago
0
Performance about self-supervised learning

#103 christincha opened 3 months ago
0
Error during installation ”Could not find a version that satisfies the requirement numpy==1.21.3“，but the actual version is now 1.26.4

#102 WHU-EE closed 4 months ago
0
.

#101 wbigert closed 4 months ago
0
Multivariate Time Series Classification

#100 Adi-ds opened 4 months ago
5
RevIN and StandardScaler

#99 Arnold815 opened 5 months ago
15
scale

#98 ynning opened 5 months ago
0
How does the visualization of Attention Weights organize the code?

#97 choiseonb1n opened 5 months ago
1
how to use learner.distributed(), in self supervised pretrain code ？

#96 lileishitou opened 6 months ago
0
请问用到了GPU加速吗

#95 xiatian815 opened 6 months ago
5
Obtain the MSE of each variable when i do the "M" prediction

#94 Marseiler opened 6 months ago
0
question about how to run MS task

#93 ZZD-guardian opened 6 months ago
0
How to use time_feature

#92 WZFish opened 6 months ago
0
Question about Revin

#91 ArcMonDol opened 7 months ago
0
Question about batch_size, patch_len and stride

#90 1348598339 opened 7 months ago
1
Issues related to training models in a self-supervised learning approach and forecasting using alas models

#89 1348598339 opened 7 months ago
0
Question about exogenous variables

#88 RuohanRYAN opened 7 months ago
1
On the question of the number of channels

#87 THN0000 opened 7 months ago
0
Operations on reverse normalization

#86 ssssbug closed 7 months ago
0
lradj的问题

#85 nnstake closed 7 months ago
0
Changing to channel Mixing

#84 vincent05r opened 7 months ago
4
Error while running finetune.py

#83 nisha-philip opened 8 months ago
0
how to explain the performance discrepancy in different model?

#82 howard-hou opened 8 months ago
1
about res attention

#81 Hannibal046 opened 8 months ago
0
Question about prediction horizon

#80 CK-TD opened 8 months ago
0
about channels

#79 agl71 opened 8 months ago
3
Unsatisfactory results on a regression task : ( need suggestions.

#78 Valhir924 closed 8 months ago
2
Bug about the parameter "feature" in self-supervised PatchTST

#77 windsoryin opened 9 months ago
0
Question about experimental settings of national illness dataset

#76 Zeying-Gong opened 10 months ago
0
Question about self-supervised learning

#75 jimmylihui opened 10 months ago
2
PatchTST as a Classifier

#74 vitor-rolla closed 10 months ago
3
Question about long unsee data forecasting

#73 1348598339 opened 10 months ago
0
Implementation Issues Regarding Channel Independence

#72 linbingkong closed 10 months ago
4
On the Meaning of Parameter during Dataset Partition

#71 ZhuLmumu opened 10 months ago
4
Question about multivariate prediction of input data

#70 1348598339 opened 10 months ago
7
关于model参数的问题

#69 1348598339 opened 10 months ago
4
Google Paper mentions a bug in test dataloader of PatchTST

#68 AfrinDange opened 11 months ago
2
value of 'd_ff'

#67 dawn0713 closed 10 months ago
2
Ablation study about Revin

#66 annmusic closed 10 months ago
1
about the channel individual

#65 kaqiz closed 10 months ago
2
mix channel implementation

#64 EllaHxyz closed 11 months ago
3