# google-deepmind/3d-shapes

<https://repo.masters-masters.com/repos/google-deepmind/3d-shapes>

[Accueil](https://repo.masters-masters.com/) › [google-deepmind](https://repo.masters-masters.com/owners/google-deepmind) › [3d-shapes](https://repo.masters-masters.com/repos/google-deepmind/3d-shapes)

google-deepmind/3d-shapes, dépôt open source à 160 étoiles sur GitHub. Carte Prototype de RepoMasters. This repository contains the 3D shapes dataset, used in…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [google-deepmind](https://repo.masters-masters.com/owners/google-deepmind) |
| Étoiles | 160 |
| Forks | 33 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Apache-2.0 |
| Création | 2019 |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [google-deepmind/3d-shapes](https://github.com/google-deepmind/3d-shapes) |

## Fiche du dépôt

This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.
