A resource list for causality in statistics, data science and physics
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Updated
Mar 5, 2024
A resource list for causality in statistics, data science and physics
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
open source E-book on statistical physics
Library for Monte Carlo Simulation applying the Bond Fluctuation Model
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
A classic implementation in C++ of the famous 2D Ising Model.
This code estimates the entropy production rate by machine learning of trajectory data. The method is based on the thermodynamic uncertainty relation.
Simulations about various surface growth models
Implementation of deep implicit attention in PyTorch
Codes and tutorials on thermodynamics and statistical physics
Contains python codes/notebooks for a machine learning review
A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
Data, codes and script for a paper on Theory of the Canonical Ensemble
An open-source toolkit for entropic data analysis
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
A python implementation of ELE method in paper "Abrupt phase transition of epidemic spreading in simplicial complexes", PRR 2020
Numerical integration of mean-field equations for large-scale leaky integrate-and-fire neuronal network simulations incorporating synaptic plasticity via Graupner Brunel model. Includes support for a memory-induction stim-pop.
Memo's research works.
Code for performing lattice-based Monte Carlo simulations of the Bragg-Williams model
Implementation of a minimal neural network model for the study of self-organized criticality
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