google-deepmind/3d-shapes
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.
Jupyter NotebookApache-2.0
Stargazers
- a-hilaly@aws
- aarzchan@facebookresearch
- ameroyerKyutai Labs
- bygreencnChina
- cffanStanford
- doraradStanford University
- el-cangrejoInstituto Superior Tecnico
- fabienbaradelNAVER LABS Europe
- filangelos@deepmind, @oatml
- fjxmlznMicrosoft Research
- fly51flyPRIS
- GargiVyas31
- GitHub30Osaka, Japan
- grandsmile
- Joshua-Ren
- KelvinsonSomewhere
- kpzc7wl
- krybkinAmazon
- layumiUniversity of Macau
- louissmitAmsterdam, the Netherlands
- mccaffary
- mch5048ECE. Seoul National University
- ninkle@Microsoft
- nlawtonUSC
- oneTakenMegvii Research
- oudommeas
- pseudoBit
- ptigasUniversity of Oxford
- r7mvee
- ryx19thCollege Park, MD
- sffejPacific NorthWest
- Shawn-Guo-CNSchool of Informatics, University of Edinburgh
- SilenceEagleZhejiang Lab.
- ThomasMrYXJTU|MSRA
- TMatsThe University of Tokyo @matsuolab @matsuolab-research
- xianyuMeng