readme: ---
  language: en
  tags:
  - pythae
  - reproducibility
  library_name: pythae
  license: apache-2.0
  ---
  
  This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
  ```python
  >>> from pythae.models import AutoModel
  >>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_vae")
  ```
  
  ## Reproducibility
  This trained model reproduces the results of the VAE used in Table 1 in [1].
  
  | Model | Dataset | Metric | Obtained value | Reference value |
  |:---:|:---:|:---:|:---:|:---:|
  | VAE | Binary MNIST | NLL (200 IS) | 89.78 (0.01) | 89.9 |
  
  [1] Danilo Rezende and Shakir Mohamed. Variational inference with normalizing flows. In International Conference on Machine Learning, pages 1530–1538. PMLR, 2015