MichaelKevinKelly / IODINE
Implementation of IODINE model
☆10Updated 5 years ago
Related projects: ⓘ
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆58Updated 2 years ago
- ☆72Updated 4 months ago
- Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"☆89Updated last year
- EfficientMORL (ICML'21)☆23Updated 2 years ago
- Official PyTorch implementation of GENESIS and GENESIS-V2☆97Updated 2 years ago
- Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".☆36Updated 3 years ago
- Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"☆100Updated 11 months ago
- Library for the training and evaluation of object-centric models (ICML 2022)☆66Updated last year
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference☆57Updated 2 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- Code for Improved Condtional VRNNs for Video Prediction☆37Updated 3 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Measuring compositionality in representation learning☆70Updated 5 years ago
- ☆84Updated 5 years ago
- Official PyTorch implementation of "Improving Generative Imagination in Object-Centric World Models"☆34Updated last year
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆81Updated last year
- ☆12Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- S.M.Ali Eslam et.al. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ICML16☆15Updated 5 years ago
- Quantitative evaluation of disentangled representations☆60Updated 6 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated last year
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 2 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆43Updated 6 years ago
- "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020☆33Updated 4 years ago