kasparmartens / NeuralDecomposition
PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
☆25Updated 4 years ago
Alternatives and similar repositories for NeuralDecomposition
Users that are interested in NeuralDecomposition are comparing it to the libraries listed below
Sorting:
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆30Updated 2 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆36Updated 5 months ago
- Branching Gaussian process☆30Updated 2 years ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆38Updated 2 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 3 months ago
- Official implementation of Joint Multidimensional Scaling☆22Updated last year
- Archetypal Analysis network (AAnet)☆33Updated 3 months ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 3 years ago
- TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics☆114Updated 8 months ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆71Updated last year
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 5 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 3 years ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 4 years ago
- Latent spaces for single cells☆21Updated last year
- ☆17Updated 6 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 2 years ago
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆25Updated 3 years ago
- Gene Expression Imputation with Generative Adversarial Imputation Nets☆12Updated 2 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 6 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- ☆17Updated 7 months ago
- ☆11Updated 2 weeks ago
- ☆24Updated 2 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆14Updated 4 years ago
- Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning☆23Updated last year
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago