Cyanogenoid / dspn
[NeurIPS 2019] Deep Set Prediction Networks
☆100Updated 4 years ago
Alternatives and similar repositories for dspn:
Users that are interested in dspn are comparing it to the libraries listed below
- [NeurIPS 2020] Better Set Representations For Relational Reasoning (https://arxiv.org/abs/2003.04448)☆30Updated 4 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Group Equivariant Convolutional Neural Networks☆100Updated 7 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆89Updated 5 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆68Updated 6 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆58Updated 2 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- ☆74Updated 7 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- ☆75Updated 9 months ago
- Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers☆88Updated 4 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- ☆122Updated 2 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆123Updated last year
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated last year
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- implements optimal transport algorithms in pytorch☆93Updated 2 years ago
- Differentiable bitonic sorting☆138Updated 4 years ago
- Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!☆86Updated 3 years ago
- Efficient reservoir sampling implementation for PyTorch☆107Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Reparameterize your PyTorch modules☆70Updated 4 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆138Updated last year