Cyanogenoid / dspnLinks
[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
Sorting:
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated last year
- [NeurIPS 2020] Better Set Representations For Relational Reasoning (https://arxiv.org/abs/2003.04448)☆30Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- ☆75Updated 7 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆71Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Efficient reservoir sampling implementation for PyTorch☆106Updated 3 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- The Limited Multi-Label Projection Layer☆59Updated last year
- Hypergradient descent☆149Updated last year
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆146Updated 2 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆92Updated 6 years ago
- Implementation of the Functional Neural Process models☆43Updated 5 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- implements optimal transport algorithms in pytorch☆100Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- Memory efficient MAML using gradient checkpointing☆85Updated 5 years ago
- Group Equivariant Convolutional Neural Networks☆100Updated 7 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago