evdoxiataka / ipme
An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
☆24Updated 9 months ago
Alternatives and similar repositories for ipme:
Users that are interested in ipme are comparing it to the libraries listed below
- Simulation based calibration and generation of synthetic data.☆49Updated this week
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆19Updated this week
- Gaussian Process Model Building Interface☆50Updated this week
- Formulas for mixed-effects models in Python☆58Updated last month
- Bayesian Regression Models in Pyro☆71Updated 7 months ago
- A comparison of PPL APIs☆27Updated 5 years ago
- Home for the computational inference reading group.☆17Updated 4 years ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆24Updated 3 years ago
- Kullback-Leibler projections for Bayesian model selection in Python☆32Updated last month
- A system for Bayesian estimation of state space models using PyMC☆34Updated last year
- Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)☆19Updated 5 years ago
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- ☆18Updated 2 years ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆14Updated 2 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆24Updated 2 years ago
- Bayesian inference for a logistic regression model in various languages☆43Updated last year
- Bayesian inference and posterior analysis for Python☆44Updated last year
- ☆41Updated 3 years ago
- Tool for exploring probability distributions.☆24Updated 2 months ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Bayesian Conjugate Models in Python☆25Updated this week
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 4 months ago
- Probabilistic Programming and Bayesian Computing with PyMC☆2Updated 3 months ago
- Educational resources☆104Updated 3 years ago
- ☆10Updated 4 months ago
- The Python wrapper for LowRankModels.jl.☆15Updated 5 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated last year
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆60Updated 2 weeks ago