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Hi all, Anyone to help me in converting the Use transformer to predict time series code [GitHub - iwasnothing/julia_transformer_ts: Time series prediction using transformer in Julia](https://github.co…
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It would be great to have a simple, no-bells-and-whistles signature feature transformer implemented in `sktime`.
(Most variations like windowing or augmentations can then be obtained from this via tr…
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### Description
1. Adding model(ModernTCN, Mamba) request
2. Question about the adding method
3. review comment
### Use case
1. I would like to ask to add model ModernTCN(IRIC 2024), and Mamba. …
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I follow the script in [https://towardsdatascience.com/time-llm-reprogram-an-llm-for-time-series-forecasting-e2558087b8ac](url) to Predicting with Time-LLM using GPT2.
My code is exactly the same as…
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The basic idea and methodology of CutAddPaste are highly similar to the ICLR23 paper AnomalyBERT [1]. However, there is no reference to AnomalyBERT and I can't find any discussion regarding the differ…
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From @benfulcher's talk, these are a number of feature sets that would be interesting to explore and possibly to interface as transformers.
Note, not all have a native python implementation, so it is…
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I have a question, I was able to run the training loop but the transformer doesn't converge,
is it because of the dataset? or it is because of some wrong hyper parameters or a chosen loss function.
…
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This issue collects a wishlist of de-novo implementations of torch based models.
Anyone can suggest models to implement, we will have to prioritize along a impact/cost analysis.
FYI @fnhirwa.
C…
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### Feature request
I would like to have a Dynamic Categorical Feature Embedding option in TimeSeriesTransformerConfig
### Motivation
I didn't see any option in the TimeSeriesTransformerConfig whe…
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**Describe the bug**
When finetuning _chronos-t5-small_ on the ETTh1 dataset and ETTh2 dataset respectively, the performance drops compared to the zeroshot performance. Could that be the case be…