addtt / attend-infer-repeat-pytorchLinks
Attend Infer Repeat (AIR) in PyTorch
☆21Updated last year
Alternatives and similar repositories for attend-infer-repeat-pytorch
Users that are interested in attend-infer-repeat-pytorch are comparing it to the libraries listed below
Sorting:
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- EfficientMORL (ICML'21)☆21Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆46Updated 2 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆31Updated 5 years ago
- [NeurIPS 2020] Better Set Representations For Relational Reasoning (https://arxiv.org/abs/2003.04448)☆30Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- ☆30Updated 4 years ago
- Structured Object-Aware Physics Prediction for Video Modeling and Planning☆32Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Solving reinforcement learning tasks which require language and vision☆33Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆65Updated 3 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- Lagrangian VAE☆28Updated 7 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆59Updated 3 years ago
- Library for the training and evaluation of object-centric models (ICML 2022)☆68Updated 2 years ago
- ☆34Updated 4 years ago
- ☆64Updated last year
- ☆36Updated 4 years ago
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆24Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 6 years ago
- Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"☆88Updated 2 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- implements optimal transport algorithms in pytorch☆100Updated 3 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago