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yuqinie98
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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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About the code of self-supervised
#14
secretfish2000
closed
1 year ago
0
Linear Head
#13
dawn0713
closed
1 year ago
2
代码中的位置编码
#12
369369Geryy
closed
1 year ago
3
Question of channel independent
#11
accuracy-maker
closed
1 year ago
2
exchange rate dataset
#10
LittleTigger-alpha
closed
1 year ago
2
Does the part of the performance gain come from residual attention?
#9
jerrywn121
closed
1 year ago
3
a question about head type of self-supervised PatchTST
#8
stillwaterman
closed
1 year ago
2
Why use drop_last=True in test (and val) dataloader?
#7
oguiza
closed
1 year ago
4
Main
#6
g0bel1n
closed
1 year ago
1
fix 'tsfm.src' with 'src'
#5
g0bel1n
closed
1 year ago
1
How to pachify non-uniform data?
#4
panjiashu
closed
1 year ago
2
Question regarding decoder inputs
#3
HasnainKhanNiazi
closed
1 year ago
4
Question about Pre-Norm
#2
evanatyourservice
closed
1 year ago
2
Hello, can I use it for anomaly detection? How effective?
#1
943fansi
closed
1 year ago
1
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