fraenkel-lab / mogpLinks
Mixture of Gaussian Processes Model for Sparse Longitudinal Data
☆38Updated 3 years ago
Alternatives and similar repositories for mogp
Users that are interested in mogp are comparing it to the libraries listed below
Sorting:
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆59Updated 4 months ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆156Updated 2 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆22Updated last year
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆28Updated 4 years ago
- Official implementation of Joint Multidimensional Scaling☆24Updated 2 years ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆32Updated 5 years ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Updated last year
- ☆18Updated 4 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆88Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 4 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 3 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 3 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 2 months ago
- Latent spaces for single cells☆21Updated 2 years ago
- CO-Optimal Transport☆42Updated 5 years ago
- Multi-group Gaussian process (MGGP)☆23Updated last year
- Latent optimal transport (LOT) for low rank transport and clustering☆20Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- ☆28Updated 3 years ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Updated last year
- Explaining dimensionality results using SHAP values☆55Updated 2 weeks ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 3 years ago
- ☆11Updated 8 months ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- Contrastive neighbor embeddings☆57Updated 2 months ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago