This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.
-
Updated
Jun 12, 2024 - Python
This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.
A demo to simulate 2D spin lattices with different shapes, boundary conditions, models and algorithms
Probabilistic PCA for missing data: learning curves shows a phase transition and missing rate acts as an effective reduction in the signal-to-noise ratio, not the sample size.
Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.
Investigating cluster dynamics in models of patchy ecosystems
lindemann is a python package to calculate the Lindemann index of a lammps trajectory
Add a description, image, and links to the phase-transitions topic page so that developers can more easily learn about it.
To associate your repository with the phase-transitions topic, visit your repo's landing page and select "manage topics."