daft-dev / daftLinks
Render probabilistic graphical models using matplotlib
☆680Updated this week
Alternatives and similar repositories for daft
Users that are interested in daft are comparing it to the libraries listed below
Sorting:
- ELFI - Engine for Likelihood-Free Inference☆275Updated last month
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆712Updated 3 years ago
- PyStan, the Python interface to Stan☆927Updated 4 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆339Updated 2 years ago
- Bayesian Python: Bayesian inference tools for Python☆697Updated 8 months ago
- megaman: Manifold Learning for Millions of Points☆327Updated 2 years ago
- TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.☆841Updated last year
- Scikit-learn compatible estimation of general graphical models☆246Updated last week
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆853Updated 5 years ago
- Bayesian Data Analysis demos for Python☆1,016Updated last year
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆877Updated 4 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆560Updated last year
- Statistical Rethinking (2nd ed.) with NumPyro☆458Updated last month
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆903Updated 3 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆519Updated 3 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆229Updated 4 years ago
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆415Updated 6 years ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,168Updated last week
- Fast and flexible Gaussian Process regression in Python☆459Updated this week
- Describing statistical models in Python using symbolic formulas☆968Updated last week
- my blog☆268Updated 3 years ago
- ☆240Updated 6 years ago
- Bayesian nonparametric machine learning for Python☆223Updated last year
- Just a little MCMC☆227Updated 11 months ago
- ☆158Updated 2 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆889Updated last year
- Collection of jupyter notebooks for demonstrating software.☆167Updated 2 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- Python/numpy bootstrap confidence interval estimation.☆178Updated last year