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Add model card from PR 2748 (#3180)
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From this PR #2748 , @abdulfatir asked for adding models in the readme
[here](https://github.com/awslabs/gluonts/blob/dev/docs/getting_started/models.md)
but it haven't been added.

Add here for a better document


note:
I'm new to GluonTS but trying to ramp up and contribute.
This is the first easy PR to help me ramp up.

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Co-authored-by: Lorenzo Stella <[email protected]>
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robert501128 and lostella authored May 29, 2024
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Model + Paper | Local/global | Data layout | Architecture/method | Implementation
-------------------------------------------------------------|--------------|--------------------------|---------------------|----------------
PatchTST<br>[Nie et al., 2023][Nie2023] | Global | Univariate | MLP, multi-head attention | [Pytorch][PatchTST_torch]
LagTST<br> | Global | Univariate | MLP, multi-head attention | [Pytorch][LagTST_torch]
DLinear<br>[Zeng et al., 2023][Zeng2023] | Global | Univariate | MLP | [Pytorch][DLinear_torch]
DeepAR<br>[Salinas et al. 2020][Salinas2020] | Global | Univariate | RNN | [MXNet][DeepAR_mx], [PyTorch][DeepAR_torch]
DeepState<br>[Rangapuram et al. 2018][Rangapuram2018] | Global | Univariate | RNN, state-space model | [MXNet][DeepState]
DeepFactor<br>[Wang et al. 2019][Wang2019] | Global | Univariate | RNN, state-space model, Gaussian process | [MXNet][DeepFactor]
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<!-- Links to bibliography -->

[Nie2023]: https://arxiv.org/abs/2211.14730
[Zeng2023]: https://arxiv.org/abs/2205.13504
[Rangapuram2021]: https://proceedings.mlr.press/v139/rangapuram21a.html
[Salinas2020]: https://doi.org/10.1016/j.ijforecast.2019.07.001
[Rangapuram2018]: https://papers.nips.cc/paper/2018/hash/5cf68969fb67aa6082363a6d4e6468e2-Abstract.html
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<!-- Links to code -->

[PatchTST_torch]: https://github.com/awslabs/gluonts/blob/dev/src/gluonts/torch/model/patch_tst/estimator.py
[LagTST_torch]: https://github.com/awslabs/gluonts/blob/dev/src/gluonts/torch/model/lag_tst/estimator.py
[DLinear_torch]: https://github.com/awslabs/gluonts/blob/dev/src/gluonts/torch/model/d_linear/estimator.py
[DeepAR_mx]: https://github.com/awslabs/gluonts/blob/dev/src/gluonts/mx/model/deepar/_estimator.py
[DeepAR_torch]: https://github.com/awslabs/gluonts/blob/dev/src/gluonts/torch/model/deepar/estimator.py
[DeepState]: https://github.com/awslabs/gluonts/blob/dev/src/gluonts/mx/model/deepstate/_estimator.py
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