A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.

lindemann is a python package to calculate the Lindemann index of a lammps trajectory

Mathematica package for evaluation of the bounce action with multiple scalar fields

PhaseTracer is a C++14 software package for tracing cosmological phases, finding potential phase transitions, computing the bounce action, and plotting the gravitational wave spectrum for Standard Model extensions with any number of scalar fields

This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.

The emergence of eukaryotes as an evolutionary algorithmic phase transition

Studying the Ising model phase transition using PCA.

Toolkit to study Cosmological Phase Transitions + Primordial Black Holes + Gravitational Waves

CUDA Vicsek model simulator

Detecting phase transitions from Quantum Monte Carlo datasets using the "learning by confusion" (LbC) technique. Training CNNs in PyTorch to classify phases of matter in an electron-phonon model.

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.

Investigating cluster dynamics in models of patchy ecosystems

2D Ising model in a square lattice with Metropolis-Hastings algorithm and sequential update.

Exploring the relation between fractals and phase transitions.

Jupyter Notebook tab and raw Julia script to simulate the Phi-4 model in a square lattice (d=2) .

Ising model simulator in Rust

2D simulation of confluent cell collectives based on a coarse-grained bead-spring model

Investigate phase transitions in k-SAT problems