fraenkel-lab / mogp
Mixture of Gaussian Processes Model for Sparse Longitudinal Data
☆37Updated 2 years ago
Alternatives and similar repositories for mogp:
Users that are interested in mogp are comparing it to the libraries listed below
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆25Updated 3 years ago
- ☆9Updated 2 years ago
- A statistical toolkit for scientific discovery using machine learning☆74Updated 9 months ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated 2 years ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 3 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
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆52Updated last year
- ☆10Updated 3 years ago
- Approximate knockoffs and model-free variable selection.☆53Updated 3 years ago
- ☆24Updated 2 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 3 years ago
- ☆30Updated 2 years ago
- Official implementation of Joint Multidimensional Scaling☆22Updated last year
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 7 months ago
- Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare☆20Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Finding trajectories, bifurcations and quantifying pseudotime in large clinical datasets☆19Updated last month
- ☆18Updated 3 years ago
- Contrastive neighbor embeddings☆54Updated last month
- Latent spaces for single cells☆21Updated last year
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- CliMB: An AI-enabled Partner for Clinical Predictive Modeling☆15Updated 4 months ago
- Here we address the global structure preservation by tSNE and UMAP☆48Updated 5 years ago
- Scikit-learn compatible package for archetypal analysis.☆24Updated last month
- A Python package for General Graphical Lasso computation☆34Updated last month
- ☆10Updated 11 months ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 4 years ago
- A probabilistic model to cluster survival data in a variational deep clustering setting☆30Updated 2 years ago