mgorinova / SlicStan
A Stan-like probabilistic programming language.
☆68Updated 4 years ago
Alternatives and similar repositories for SlicStan
Users that are interested in SlicStan are comparing it to the libraries listed below
Sorting:
- Home for the computational inference reading group.☆17Updated 5 years ago
- Documentation for the Stan language and CmdStan☆39Updated last week
- Bayesian Regression Models in Pyro☆72Updated 9 months ago
- Define Stan models in jupyter notebook cells using magics☆22Updated 6 years ago
- A comparison of PPL APIs☆27Updated 5 years ago
- The Stan transpiler (from Stan to C++ and beyond).☆146Updated last week
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Python interface for the Stan to (Num)Pyro compiler.☆13Updated 3 years ago
- Database with posteriors of interest for Bayesian inference☆200Updated 2 weeks ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆101Updated this week
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- Source files for the book "Bayesian Workflow Using Stan"☆96Updated 3 years ago
- Some teaching material and other educational resources☆41Updated 6 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆65Updated 4 years ago
- Rewriting the Stan compiler in OCaml☆22Updated 3 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆86Updated 8 years ago
- Unbiased MCMC with couplings☆19Updated 5 years ago
- A surface language for programming Stan models using python syntax☆46Updated 6 years ago
- Kullback-Leibler projections for Bayesian model selection in Python☆34Updated last month
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated 2 months ago
- Monitor MCMC runs in the browser☆36Updated last year
- Simulation based calibration and generation of synthetic data.☆50Updated last month
- A Julia package to support conjugate prior distributions.☆47Updated 2 years ago
- Case studies in applied and computational statistics.☆36Updated 6 months ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 11 months ago
- ☆54Updated 2 years ago
- some scripts for the couplings enthusiasts!☆32Updated 4 years ago
- Causal, Higher-Order, Probabilistic Programming☆170Updated 2 years ago
- A simple library to run variational inference on Stan models.☆30Updated 2 years ago