thwjoy / ccvae_pytorchLinks
Pytorch codebase for Capturing label characteristics in VAEs
☆11Updated 4 years ago
Alternatives and similar repositories for ccvae_pytorch
Users that are interested in ccvae_pytorch are comparing it to the libraries listed below
Sorting:
- The official codebase for Capturing label characteristics in VAEs☆13Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆30Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆20Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 3 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- ☆33Updated 3 years ago
- ☆38Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆86Updated 6 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- ☆149Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 9 months ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 4 years ago
- ☆91Updated 6 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- Simple Importance Weighted Autoencoders (IWAE) implementation in Pytorch☆15Updated 5 months ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- ☆54Updated last year
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- ☆37Updated 5 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago