daft-dev / daft
Render probabilistic graphical models using matplotlib
☆678Updated last week
Alternatives and similar repositories for daft:
Users that are interested in daft are comparing it to the libraries listed below
- PyStan, the Python interface to Stan☆926Updated 4 years ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Updated 3 years ago
- Bayesian Python: Bayesian inference tools for Python☆696Updated 6 months ago
- ELFI - Engine for Likelihood-Free Inference☆274Updated 9 months ago
- megaman: Manifold Learning for Millions of Points☆326Updated 2 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆340Updated 2 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆880Updated 4 years ago
- TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.☆840Updated last year
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆900Updated 3 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆517Updated 3 years ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,153Updated 2 weeks ago
- Fast and flexible Gaussian Process regression in Python☆457Updated last week
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated 11 months ago
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- Bayesian Data Analysis demos for Python☆1,012Updated last year
- my blog☆267Updated 2 years ago
- Just a little MCMC☆226Updated 10 months ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆852Updated 4 years ago
- Describing statistical models in Python using symbolic formulas☆966Updated last week
- Python package for information theory.☆538Updated 3 weeks ago
- Bayesian nonparametric machine learning for Python☆219Updated last year
- Python implementation of elastic-net regularized generalized linear models☆280Updated last year
- Statistical Rethinking (2nd ed.) with NumPyro☆456Updated last year
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆557Updated last year
- code for Structured Variational Autoencoders☆352Updated 6 years ago
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆414Updated 6 years ago
- ☆240Updated 6 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆328Updated 4 years ago