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reproduced_aae
clementchadebec/reproduced_aae
reproduced_aae is a machine learning model from clementchadebec. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pythae. The card lists the license as apache-2.0.
This model was trained with pythae. It can be downloaded or reloaded using the method loadfromhfhub
Access
Public
Updated Aug 20, 2022
Repo size
567 MB
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.pkl142 MB · 50%
At a glance
- Library
- pythae
- License
- apache-2.0
- Access
- Public
- Created
- Aug 19, 2022
- Updated
- Aug 20, 2022
- SHA
- 73bb9ceb
Model card
From the Hugging Face model README
Downloading this model from the Hub
This model was trained with pythae. It can be downloaded or reloaded using the method load_from_hf_hub
>>> from pythae.models import AutoModel
>>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_aae")
Reproducibility
This trained model reproduces the results of Table 1 in [1].
| Model | Dataset | Metric | Obtained value | Reference value |
|---|---|---|---|---|
| AAE | CELEBA 64 | FID | 43.3 | 42 |
[1] Tolstikhin, O Bousquet, S Gelly, and B Schölkopf. Wasserstein auto-encoders. In 6th International Conference on Learning Representations (ICLR 2018), 2018.
- Library
- pythae
- License
- apache-2.0
- Languages
- en
- Created
- Aug 19, 2022
- Updated
- Aug 20, 2022