seuqaj114 / paig
Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video
☆39Updated last year
Alternatives and similar repositories for paig:
Users that are interested in paig are comparing it to the libraries listed below
- Structured Object-Aware Physics Prediction for Video Modeling and Planning☆32Updated 4 years ago
- "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020☆33Updated 4 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 2 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics☆129Updated 7 years ago
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆24Updated 6 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 2 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 6 years ago
- Codes for paper "Flexible Neural Representation for Physics Prediction".☆44Updated 6 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆30Updated 4 years ago
- EfficientMORL (ICML'21)☆22Updated 3 years ago
- ☆55Updated 2 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆27Updated 4 years ago
- Predictive State Recurrent Neural Networks☆18Updated 4 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- [ICML 2020] Visual Grounding of Learned Physical Models☆40Updated 4 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- Graph Nets in pytorch☆27Updated 2 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆29Updated 2 years ago
- Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"☆48Updated last year
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking'☆46Updated last year
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Variational Reinforcement Learning☆16Updated 6 months ago