gr8joo / MVTCAELinks
☆16Updated 4 years ago
Alternatives and similar repositories for MVTCAE
Users that are interested in MVTCAE are comparing it to the libraries listed below
Sorting:
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 2 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆42Updated 5 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆43Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆16Updated 4 years ago
- ☆31Updated 4 years ago
- ☆32Updated 7 years ago
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆159Updated 7 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- ☆15Updated 7 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 4 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Updated 6 years ago
- ☆20Updated 5 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- ☆12Updated 6 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆47Updated 5 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago