TropComplique / set-transformerLinks
A neural network architecture for prediction on sets
☆24Updated 3 years ago
Alternatives and similar repositories for set-transformer
Users that are interested in set-transformer are comparing it to the libraries listed below
Sorting:
- PyTorch Implementations of Dropout Variants☆88Updated 7 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- ☆65Updated last year
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- ☆63Updated 5 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆15Updated 5 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"☆46Updated 6 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- implements optimal transport algorithms in pytorch☆102Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- ZForcing Repo☆40Updated 8 years ago
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Updated 7 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆101Updated 5 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated 2 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Implementation of Sparsemax activation in Pytorch☆166Updated 5 years ago
- ☆43Updated 7 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year