aripakman / neural_clustering_processLinks
Implementation of the Neural Clustering Process algorithm in Pytorch
☆31Updated 5 years ago
Alternatives and similar repositories for neural_clustering_process
Users that are interested in neural_clustering_process are comparing it to the libraries listed below
Sorting:
- ☆125Updated 2 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- ☆29Updated 4 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 3 years ago
- Variational Autoencoder with Arbitrary Conditioning☆82Updated 2 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- A brief tutorial on the Wasserstein auto-encoder☆86Updated 7 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- ☆54Updated last year
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆21Updated 3 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- ☆33Updated 6 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- ☆37Updated 5 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 years ago