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### Model description
**TimesFM** (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
### Open source status
- [X] …
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- PyTorch-Forecasting version: 0.10.3
- PyTorch version: 1.13.1+cu116
- Python version: 3.8.10
- Operating System: Linux-5.10.147+-x86_64-with-glibc2.29
### Expected behavior
I executed the t…
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I have a question whether the pre-trained UniTS training dataset contains the test dataset. If so, then the training process of time series prediction and time series completion is essentially a self-…
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Opening this issue to coordinating the various summer projects in relation to foundation models, deep learning, backends, interfaces.
Below a list of related umbrella issues and individual issues -…
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Hi
I would appreciate if you could let me know how to fix this error. I am running the code on Colab.
```python
from sktime.transformations.series.compose import ColumnwiseTransformer
```
Err…
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- PyTorch-Forecasting version:2.0
- PyTorch version:2.0
- Python version 3.10
- Operating System:
Hi everyone,
I have trained an NBeats model from PyTorch forecasting using [[TimeSeriesDataSet …
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TL;DR: It is not clear to me how to download the ERA5 constants.
I'm trying to download ERA5 for use in my own project. I want to do `"direct-forecasting"` and I am using the `cl.data.IterDataMod…
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ieee: https://ieeexplore.ieee.org/document/9671521
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#### Abstract
The server workloads of large-scale online video games are elastic and on-demand. The workload can range from tens to tho…
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ieee: https://ieeexplore.ieee.org/document/9671521
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#### Abstract
The server workloads of large-scale online video games are elastic and on-demand. The workload can range from tens to tho…
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breadcrumb here: some candidates to drive the conformance test suite(s) are
* [portman](https://github.com/apideck-libraries/portman)
* [pactflow](https://pactflow.io/blog/should-i-write-contract-te…