JohnGoertz / Gumbi
Gaussian Process Model Building Interface
☆50Updated last month
Alternatives and similar repositories for Gumbi:
Users that are interested in Gumbi are comparing it to the libraries listed below
- Simulation based calibration and generation of synthetic data.☆49Updated 3 weeks ago
- Powerful add-ons for PyMC☆98Updated this week
- Bayesian Regression Models in Pyro☆71Updated 8 months ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 10 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆20Updated 2 weeks ago
- A system for Bayesian estimation of state space models using PyMC☆33Updated last year
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Self-tuning HMC algorithms and evaluations☆18Updated 6 months ago
- Bayesian Conjugate Models in Python☆25Updated this week
- bayes-toolbox☆92Updated 4 months ago
- Generalized additive models in Python with a Bayesian twist☆77Updated 10 months ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆61Updated last month
- Formulas for mixed-effects models in Python☆58Updated 2 months ago
- Exploring and eliciting probability distributions☆130Updated this week
- ☆107Updated this week
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆26Updated 3 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- ☆41Updated 3 years ago
- Tutorials and sampling algorithm comparisons☆74Updated this week
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆84Updated 2 months ago
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 5 months ago
- Python wrapper for nuts-rs☆143Updated this week
- Tool for exploring probability distributions.☆23Updated 4 months ago
- Hidden Markov models in PyMC3☆99Updated last year
- Kullback-Leibler projections for Bayesian model selection in Python☆33Updated this week
- Educational resources☆105Updated 3 years ago
- Random Forests for Conditional Density Estimation☆41Updated 3 years ago
- ☆18Updated 2 years ago