daft-dev / daft
Render probabilistic graphical models using matplotlib
☆675Updated this week
Related projects ⓘ
Alternatives and complementary repositories for daft
- ELFI - Engine for Likelihood-Free Inference☆267Updated 4 months ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆712Updated 3 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆330Updated last year
- Bayesian Python: Bayesian inference tools for Python☆689Updated last month
- PyStan, the Python interface to Stan☆920Updated 3 years ago
- megaman: Manifold Learning for Millions of Points☆322Updated last year
- Scikit-learn compatible estimation of general graphical models☆242Updated 8 months ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆892Updated 3 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆835Updated 4 years ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆878Updated 4 years ago
- Bayesian Data Analysis demos for Python☆997Updated last year
- BAyesian Model-Building Interface (Bambi) in Python.☆1,082Updated last week
- Statistical Rethinking (2nd ed.) with NumPyro☆449Updated 9 months ago
- TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.☆831Updated 8 months ago
- Describing statistical models in Python using symbolic formulas☆954Updated this week
- Fast and flexible Gaussian Process regression in Python☆451Updated this week
- Python package for Bayesian Machine Learning with scikit-learn API☆514Updated 3 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆223Updated 3 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆554Updated last year
- my blog☆267Updated 2 years ago
- ☆237Updated 6 years ago
- Simple structured learning framework for python☆665Updated 3 years ago
- Just a little MCMC☆217Updated 4 months ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated 6 months ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆262Updated 3 months ago
- code for Structured Variational Autoencoders☆349Updated 6 years ago
- Kernel structure discovery research code - likely to be unstable☆188Updated 9 years ago
- Bayesian nonparametric machine learning for Python☆213Updated last year
- Python implementation of elastic-net regularized generalized linear models☆280Updated last year
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆673Updated 3 years ago