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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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When I build a non-foundation time series, I have clearly demarcated training and testing sets. But with foundation models, how can I apply the model to a backdated time series ? Technically it may be…
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### Description
> I would like to request the extension of the Time-Series Foundation Model to support non-tabular data types, such as RGB images, text, and sound. This would allow the model to handl…
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https://arxiv.org/pdf/2310.10688.pdf
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Issue collecting design discussion related to the boundary between `sktime` and `pytorch-forecasting`, with a particular focus on foundation models and weight management, also see `sktime` issue https…
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`momentfm` is another foundation model recently published.
https://github.com/moment-timeseries-foundation-model/moment/tree/main
The model itself is polymorphic, depending on the output facing la…
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### Version of the project
v3.0.0-beta.0
### Tech Stack
DevOps [DO]
### Project details
Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring syst…
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Hello and thank you for the model. I'm experimenting with my dataset, and one kind of systematic error I found are charts like below, where the first prediction point is way off the latest known point…
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Salesforce is releasing there time series library for transformers training and forecasting. Thus, it might be worth to interface it.
This is also supporting a download of their time series foundat…
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Many users are unfamiliar with the various time series distance measures and are unsure which ones are most suitable for their specific tasks. To address this issue, it would be beneficial to provide …