AgatheSenellart / MultiVae
Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
☆26Updated this week
Related projects ⓘ
Alternatives and complementary repositories for MultiVae
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆66Updated 10 months ago
- Official implementation of Joint Multidimensional Scaling☆21Updated last year
- Supervised Training of Conditional Monge Maps☆13Updated last year
- Archetypal Analysis network (AAnet)☆31Updated 3 weeks ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 4 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆35Updated 2 months ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- Contrastive neighbor embeddings☆52Updated 7 months ago
- ☆15Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆43Updated last year
- ☆31Updated 2 years ago
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆22Updated 3 years ago
- Code for comparison of multimodal VAE models☆26Updated 8 months ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆14Updated 3 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- ☆17Updated 2 months ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆40Updated 4 years ago
- ☆20Updated last month
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆37Updated last year
- Transformer Based Embeddings of Wasserstein Distance☆13Updated 2 weeks ago
- Learning disentangled representations of single-cell data for high-quality generation☆15Updated 8 months ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 3 years ago
- Alignment between clustered datasets via hierarchical Wasserstein distance☆38Updated last year
- Latent optimal transport (LOT) for low rank transport and clustering☆20Updated 3 years ago
- Multiscale earth mover's distance methods for tree and manifold structured data☆11Updated last year
- a unified single-cell data integration framework by optimal transport☆31Updated last month
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆30Updated 3 years ago
- Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data☆14Updated 3 years ago
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆31Updated 3 years ago
- Deep direct likelihood knockoffs☆11Updated 3 years ago