fonnesbeck / vi_pydata_virginia_2025Links
A Beginner's Guide to Variational Inference
☆15Updated 2 months ago
Alternatives and similar repositories for vi_pydata_virginia_2025
Users that are interested in vi_pydata_virginia_2025 are comparing it to the libraries listed below
Sorting:
- Bayesian Conjugate Models in Python☆31Updated this week
- ArviZ modular plotting☆18Updated last week
- Formulas for mixed-effects models in Python☆61Updated 5 months ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 8 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated 2 weeks ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated this week
- Simulation based calibration and generation of synthetic data.☆55Updated 3 weeks ago
- Tool for exploring probability distributions.☆23Updated 6 months ago
- ☆18Updated 2 years ago
- Exploring and eliciting probability distributions☆139Updated 3 weeks ago
- Pythonic interface to R's brms☆45Updated 3 years ago
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- Gaussian Process Model Building Interface☆51Updated 4 months ago
- Step size adaptation for the No-U-Turn Sampler☆17Updated last week
- ☆72Updated last month
- Educational resources☆104Updated 3 years ago
- ☆12Updated 7 months ago
- A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo☆11Updated 5 months ago
- Powerful add-ons for PyMC☆106Updated this week
- Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…☆73Updated last year
- Bayesian Regression Models in Pyro☆72Updated 11 months ago
- Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC☆32Updated 3 years ago
- bayes-toolbox☆93Updated last week
- Monitor MCMC runs in the browser☆36Updated last year
- Kullback-Leibler projections for Bayesian model selection in Python☆36Updated 3 months ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆66Updated 4 months ago
- ☆41Updated 3 years ago
- Hidden Markov models in PyMC3☆99Updated last year
- ☆56Updated 2 years ago
- Markov Chain Monte Carlo Visualization Tools☆25Updated this week