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thuml
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Large-Time-Series-Model
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)
https://arxiv.org/abs/2402.02368
MIT License
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Regarding the pre-training weight parameters.
#16
ooooooover
opened
2 weeks ago
0
Zero-shot forcasting
#15
zhajiahe
opened
2 weeks ago
0
Data scaling Issue
#14
ngupta-slb
opened
3 weeks ago
0
How to custom own dataset
#13
Sample-design-alt
opened
4 weeks ago
0
How to pretrain a Timer model?
#12
lukc12138
opened
1 month ago
0
Question on the exp_forecast test()
#11
dialuser
closed
1 month ago
1
loading fine tuned model
#10
dialuser
opened
2 months ago
1
forecast about autoregression
#9
reoml
opened
2 months ago
4
请问在使用下游数据集fine-tune时,样本是从整条序列中随机采样,还是仅使用其中连续的一小段?
#8
BoffinZhang
closed
1 month ago
1
pre-training
#7
Harryx2019
opened
2 months ago
1
Zero-shot forecasting without training
#6
ozanbarism
opened
3 months ago
1
方便通过 Tsinghua Cloud 分享一下UTSD数据集吗?
#5
dawnvince
opened
3 months ago
2
Could you please release the data-processing code for pretraining?
#4
XJTU-XGU
closed
3 months ago
1
A bug in run.py
#3
TobyYang7
closed
3 months ago
3
Dataset, Checkpoint and Adaptation Code is Available
#2
WenWeiTHU
opened
3 months ago
1
Questions on Unified Time Series Dataset and Model Training Resources
#1
wyl010607
closed
3 months ago
1