A resource list for causality in statistics, data science and physics

Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.

Implementation of deep implicit attention in PyTorch

Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang

open source E-book on statistical physics

Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX

A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.

An open-source toolkit for entropic data analysis

A classic implementation in C++ of the famous 2D Ising Model.

Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.

Implementation of approximate free-energy minimization in PyTorch

Codes and tutorials on thermodynamics and statistical physics

Statistical mechanics models such as random cluster models, random growth models and related processes.

Julia module to perform haplotype allele-specific DNA methylation analysis.

Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.

A simulation framework for nonequilibrium statistical physics

Contains python codes/notebooks for a machine learning review

Markov chain Monte Carlo for topological phase transitions

This code estimates the entropy production rate by machine learning of trajectory data. The method is based on the thermodynamic uncertainty relation.

A python implementation of ELE method in paper "Abrupt phase transition of epidemic spreading in simplicial complexes", PRR 2020