andrewcharlesjones / multi-group-GPLinks
Multi-group Gaussian process (MGGP)
☆22Updated last year
Alternatives and similar repositories for multi-group-GP
Users that are interested in multi-group-GP are comparing it to the libraries listed below
Sorting:
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- Simulation based calibration and generation of synthetic data.☆55Updated last week
- Bayesian Regression Models in Pyro☆72Updated last year
- Gaussian Process Model Building Interface☆51Updated 6 months ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- A temporary repository hosting a pomegranate re-write using PyTorch as the backend.☆72Updated 2 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- ☆42Updated 3 years ago
- ☆51Updated last year
- Developing efficient Bayesian phylogenetic inference methods☆12Updated 5 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Mixture of Gaussian Processes Model for Sparse Longitudinal Data☆38Updated 2 years ago
- Official code repository to the corresponding paper.☆29Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- ABCpy package☆115Updated last year
- Python package for the creation, manipulation, and learning of Causal DAGs☆154Updated 2 years ago
- Step size adaptation for the No-U-Turn Sampler☆21Updated last month
- A library for bayesian variable selection☆30Updated 7 months ago
- Bayesian Bandits☆68Updated 2 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated 7 months ago
- R implementation of VCBART☆22Updated last year
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- Formulas for mixed-effects models in Python☆63Updated 7 months ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Minimax Estimation of Conditional Moment Models☆30Updated 2 years ago
- Approximate knockoffs and model-free variable selection.☆55Updated 3 years ago