thomassutter / mmjsdLinks
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
☆18Updated 3 years ago
Alternatives and similar repositories for mmjsd
Users that are interested in mmjsd are comparing it to the libraries listed below
Sorting:
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- Multimodal Mixture-of-Experts VAE☆217Updated 2 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- ☆16Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- ☆32Updated 5 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆57Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆161Updated 7 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Simple Importance Weighted Autoencoders (IWAE) implementation in Pytorch☆14Updated 5 months ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 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
- ☆91Updated 6 years ago
- A Tensorflow implementation Mutual Information estimation methods☆48Updated 2 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 2 years ago
- Robust Optimal Transport code☆43Updated 3 years ago
- Learning generative models with Sinkhorn Loss☆30Updated 7 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago