e2crawfo / auto_yoloLinks
Original implementation of Spatially Invariant Attend, Infer, Repeat (SPAIR) in TensorFlow.
☆51Updated 4 years ago
Alternatives and similar repositories for auto_yolo
Users that are interested in auto_yolo are comparing it to the libraries listed below
Sorting:
- Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"☆88Updated 2 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆42Updated 7 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 2 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆58Updated 3 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Unsupervised instance segmentation via active robot interaction☆77Updated 2 years ago
- EfficientMORL (ICML'21)☆22Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆30Updated 5 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- Structured Object-Aware Physics Prediction for Video Modeling and Planning☆32Updated 5 years ago
- Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.☆55Updated 2 years ago
- Learning Spatial Common Sense with Geometry-Aware Recurrent Networks☆55Updated 5 years ago
- Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"☆23Updated 5 years ago
- Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"☆49Updated last year
- An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch☆72Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code for SplitNet paper☆60Updated 5 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Inf…☆143Updated 2 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year
- Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".☆36Updated 3 years ago
- Code for ECCV2018 paper: "Interpretable Intuitive Physics Model"☆43Updated 6 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆67Updated 4 years ago
- "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020☆33Updated 5 years ago
- Python scripts to help ACs with OpenReview☆11Updated 4 months ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago