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

isingLenzMC: Monte Carlo for Classical Ising Model (with core C library)

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.

A simulation framework for nonequilibrium statistical physics

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

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

High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generation (HE-RNG).

This repository estimates the entropy production rate from trajectory data using machine learning. The method is based on the thermodynamic uncertainty relation.