arrigonialberto86 / set_transformerLinks
A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
☆31Updated last year
Alternatives and similar repositories for set_transformer
Users that are interested in set_transformer are comparing it to the libraries listed below
Sorting:
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 3 years ago
- ☆125Updated 2 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- ☆54Updated last year
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆65Updated 3 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- ☆29Updated 4 years ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆32Updated 5 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆97Updated 4 years ago
- ☆13Updated last year
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 5 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆66Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆130Updated 2 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Updated 4 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆27Updated 5 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- ☆18Updated 4 years ago