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reproduced_rae_gp
clementchadebec/reproduced_rae_gp
reproduced_rae_gp 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 19, 2022
Repo size
138 MB
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Repo makeup
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.pkl68.9 MB · 50%
At a glance
- Library
- pythae
- License
- apache-2.0
- Access
- Public
- Created
- Aug 19, 2022
- Updated
- Aug 19, 2022
- SHA
- 666e7165
Model card
From the Hugging Face model README
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_rae_gp")
Reproducibility
This trained model reproduces the results of the official implementation of [1].
| Model | Dataset | Metric | Obtained value | Reference value |
|---|---|---|---|---|
| RAE_GP | MNIST | FID | 9.7 | 9.4 |
[1] Partha Ghosh, Mehdi SM Sajjadi, Antonio Vergari, Michael Black, and Bernhard Schölkopf. From variational to deterministic autoencoders. In 8th International Conference on Learning Representations, ICLR 2020, 2020.
- Library
- pythae
- License
- apache-2.0
- Languages
- en
- Created
- Aug 19, 2022
- Updated
- Aug 19, 2022