Bounded Depth Spanning Tree MCMC Sampler
Code for "Bayesian Structure Learning with Generative Flow Networks"
A graph library built on top of SciPy sparse matrices.
An introduction to network analysis and applied graph theory using Python and NetworkX
Compute Bayes Factor for PyMC model selection
Python framework for inference in Hawkes processes.
Network Analysis in Python
GPT implementation in Flax
Example PyMC Project - Replication of the TFR-HDI controversy
PyMC models of spatio-temporal health data
A Graph Neural Network Library in Jax
Combinatorial Complex Score-based Diffusion model using stochastic differential equations
Bayesian Modeling and Probabilistic Programming in Python
Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
Demonstration of how different step methods mix in PyMC
PyMC Example Notebooks