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  language: en
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  tags:
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  - pythae
 
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  license: apache-2.0
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  ---
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- ### Downloading this model from the Hub
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  This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
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  ```python
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  >>> from pythae.models import AutoModel
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- >>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_username/repo_name")
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  ```
 
 
 
 
 
 
 
 
 
 
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  language: en
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  tags:
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  - pythae
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+ - reproducibility
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  license: apache-2.0
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  ---
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  This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
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  ```python
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  >>> from pythae.models import AutoModel
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+ >>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_vamp")
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  ```
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+
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+ ## Reproducibility
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+ This trained model reproduces the results of Table 1 in [1].
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+
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+ | Model | Dataset | Metric | Obtained value | Reference value |
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+ |:---:|:---:|:---:|:---:|:---:|
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+ | VAMP (K=500) | Binary MNIST | NLL (5000 IS) | 85.79 (0.00) | 85.57 |
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+
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+ [1] Jakub Tomczak and Max Welling. Vae with a vampprior. In International Conference on Artificial Intelligence and Statistics, pages 1214–1223. PMLR, 2018.