arviz-devs / simulation_based_calibration
Implementation of simulation based calibration for PyMC and Bambi
☆30Updated last week
Related projects: ⓘ
- Educational resources related to ArviZ☆17Updated this week
- ☆74Updated 6 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆24Updated 6 years ago
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated last year
- A comparison of PPL APIs☆24Updated 5 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 3 months ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆52Updated last month
- Home for the computational inference reading group.☆17Updated 4 years ago
- Hidden Markov models in PyMC3☆95Updated 5 months ago
- ☆36Updated this week
- Numpyro examples in Python notebooks☆11Updated 4 years ago
- A web interface for exploring PyMC3 traces☆46Updated 6 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆76Updated 6 months ago
- Gaussian Process Model Building Interface☆48Updated last month
- Bayesian Regression Models in Pyro☆70Updated last month
- ABCpy package☆112Updated 4 months ago
- Inference case studies in jupyter☆91Updated 5 years ago
- Approximate Bayesian Computation Population Monte Carlo☆39Updated 4 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆29Updated last year
- Bayesian inference and posterior analysis for Python☆41Updated 9 months ago
- Educational resources☆98Updated 2 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆14Updated 2 years ago
- Python wrapper for nuts-rs☆106Updated this week
- A system for Bayesian estimation of state space models using PyMC☆33Updated last year
- Presented at Scipy Conference 2019☆123Updated 4 years ago
- Randomization-based inference in Python☆73Updated this week
- Formulas for mixed-effects models in Python☆54Updated last month