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:
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆164Updated 7 years ago
- ☆16Updated 4 years ago
- ☆33Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Multimodal Mixture-of-Experts VAE☆221Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- A Tensorflow implementation Mutual Information estimation methods☆48Updated 2 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆66Updated 5 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- ☆20Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆31Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- ☆33Updated 3 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- ☆149Updated 3 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- (CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning☆26Updated 4 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆49Updated 9 months ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 4 years ago
- Official implementation of "On GANs and GMMs"☆67Updated 6 years ago