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### Description
Amazon Chronos-T5: https://huggingface.co/amazon/chronos-t5-large
IBM Granite: https://huggingface.co/ibm-granite/granite-timeseries-ttm-v1
Lag-Llama: https://huggingface.co/time-…
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**Is your feature request related to a problem? Please describe.**
TimeMOE seems to be a time series mixture of expert foundation model
https://github.com/time-moe/time-moe
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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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### 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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### 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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A suggestion for a long-term project. I recently found this interesting paper [AstroCLIP: A Cross-Modal Foundation Model for Galaxies](https://arxiv.org/pdf/2310.03024).
As far as I understand, th…
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### Feature Summary
I'd like to contribute to FinVeda by implementing a machine learning module that can predict financial trends, stock prices, and customer behavior. This module will leverage popul…
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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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Found some good paper, will they be a good addition?
TimeLLM : [Paper](https://arxiv.org/abs/2310.01728) . [Code](https://github.com/KimMeen/Time-LLM)