Alternatives and similar repositories for 3d-shapes

Users that are interested in 3d-shapes are comparing it to the libraries listed below

• rr-learning / disentanglement_dataset
  ☆79Updated 3 months ago
• google-deepmind / multi_object_datasets
  Multi-object image datasets with ground-truth segmentation masks and generative factors.
  ☆272Updated 3 years ago
• cianeastwood / qedr
  Quantitative evaluation of disentangled representations
  ☆62Updated 7 years ago
• stelzner / monet
  An implementation of the MONet model for unsupervised scene decomposition in PyTorch
  ☆59Updated 3 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆66Updated 6 years ago
• openai / ebm_code_release
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆354Updated 2 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆279Updated 3 years ago
• zhixuan-lin / SPACE
  Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"
  ☆104Updated last year
• addtt / object-centric-library
  Library for the training and evaluation of object-centric models (ICML 2022)
  ☆68Updated 2 years ago
• baudm / MONet-pytorch
  Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"
  ☆88Updated 2 years ago
• zhixuan-lin / IODINE
  PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference
  ☆59Updated 2 years ago
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆60Updated 3 years ago
• riannevdberg / sylvester-flows
  ☆180Updated 6 years ago
• ecker-lab / object-centric-representation-benchmark
  Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".
  ☆36Updated 3 years ago
• applied-ai-lab / genesis
  Official PyTorch implementation of GENESIS and GENESIS-V2
  ☆110Updated 3 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆141Updated 4 years ago
• google-deepmind / dsprites-dataset
  Dataset to assess the disentanglement properties of unsupervised learning methods
  ☆510Updated 4 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆181Updated 3 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆123Updated 2 years ago
• daib13 / TwoStageVAE
  ☆237Updated 6 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated last year
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 6 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆424Updated 2 years ago
• bethgelab / slow_disentanglement
  Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
  ☆73Updated 3 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆189Updated 6 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆350Updated 2 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆234Updated 5 years ago