TuringLang / TuringExamples
A Bayesian zoo
☆14Updated 4 years ago
Related projects: ⓘ
- A Julia package to support conjugate prior distributions.☆46Updated last year
- CmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable. CmdStan will be deprecated in 2022.☆30Updated 2 years ago
- Initial look at directed acyclic graph (DAG) based causal models in regression.☆32Updated 6 months ago
- The julia package for nonparametric density estimate and regression☆27Updated last year
- Comparing performance and results of mcmc options using Julia☆37Updated 3 years ago
- ☆29Updated 3 years ago
- DynamicHMC versions of StatisticalRethinking models☆18Updated last year
- Inference for diffusion processes with the use of `Guided Proposals`☆16Updated 3 years ago
- Statistical Models with Regularization in Pure Julia☆40Updated 2 years ago
- Causal Inference with Invariant Prediction☆25Updated 3 years ago
- Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet☆95Updated last week
- ☆35Updated 3 years ago
- BayesianNonparametrics in julia☆30Updated 6 years ago
- Spline bases for regression modelling in Julia☆12Updated 2 years ago
- Turing + Makie = Turkie☆68Updated 3 months ago
- Nonlinear regression in Julia☆18Updated 4 years ago
- Graphical tools for Bayesian inference and posterior predictive checks☆20Updated 2 years ago
- Archive of functions that emulate R's d-p-q-r functions for probability distributions☆16Updated last week
- Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"☆29Updated 2 years ago
- Julia package of regularization functions for machine learning☆26Updated 2 years ago
- Data generator based on copulas☆21Updated last year
- Examples for Bayesian inference using DynamicHMC.jl and related packages.☆37Updated 9 months ago
- Efficient approximate k-nearest neighbors graph construction and search in Julia☆44Updated last year
- Metrics for scoring machine learning models in Julia☆25Updated 2 years ago
- Exploratory analysis of Bayesian models with Julia☆106Updated this week
- Basic inference with Hidden Markov Models☆25Updated 6 years ago
- Is there anything we can't make Bayesian?☆13Updated 2 years ago
- Algorithms for fit constrained lasso☆8Updated 6 years ago
- WIP successor to Soss.jl☆75Updated last year
- Probability models with `y ~ Normal(mu, sigma)` style syntax and reverse mode AD for gradients; WIP. Prioritizes runtime performance.☆20Updated 3 years ago