orybkin / sigma-vae-tensorflowLinks
A σ-VAE implementation in TensorFLow
☆16Updated 2 years ago
Alternatives and similar repositories for sigma-vae-tensorflow
Users that are interested in sigma-vae-tensorflow are comparing it to the libraries listed below
Sorting:
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆31Updated last year
- Learning disentangled representations of single-cell data for high-quality generation☆16Updated last year
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆27Updated 5 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- ☆17Updated 5 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆150Updated 4 years ago
- ☆125Updated 2 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆66Updated 6 years ago
- Latent spaces for single cells☆21Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 3 years ago
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆147Updated 3 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated last year
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆21Updated last year
- DeepPINK: reproducible feature selection in deep neural networks☆22Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆124Updated 2 years ago
- ☆18Updated 4 years ago
- ☆18Updated 3 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆49Updated 5 years ago
- Framework for integrating heterogeneous modalities of data☆17Updated 3 years ago
- Self-Supervised Noise Embeddings (Self-SNE)☆158Updated 8 months ago
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- ☆29Updated 3 years ago
- ☆51Updated last year
- ☆37Updated 3 years ago
- Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."☆29Updated 3 years ago