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reproduced_beta_tc_vae
clementchadebec/reproduced_beta_tc_vae
reproduced_beta_tc_vae 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
114 MB
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At a glance
- Library
- pythae
- License
- apache-2.0
- Access
- Public
- Created
- Aug 19, 2022
- Updated
- Aug 19, 2022
- SHA
- ee939d82
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_beta_tc_vae")
Reproducibility
This trained model reproduces the results of the official implementation of [1].
| Model | Dataset | Metric | Obtained value | Reference value |
|---|---|---|---|---|
| BetaTCVAE | DSPRITES | ELBO/Modified ELBO (after 50 epochs) | 710.41/85.54 | 712.26/86.40 |
[1] Ricky TQ Chen, Xuechen Li, Roger B Grosse, and David K Duvenaud. Isolating sources of disentanglement in variational autoencoders. Advances in neural information processing systems, 31, 2018.
- Library
- pythae
- License
- apache-2.0
- Languages
- en
- Created
- Aug 19, 2022
- Updated
- Aug 19, 2022