Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.

paper lists and information on mean-field theory of deep learning

User-friendly open-source software to design and solve tight-binding models, addressing electronic properties, topology, interactions, non-collinear magnetism, and unconventional superconductivity, among others.

Implementation of deep implicit attention in PyTorch

Package to perform tight binding calculation in tight binding models, with a friendly user interface

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

Python library to compute different properties of tight binding models

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

Hartree-Fock-Bogoliubov solver for a generic interacting fermion Hamiltonian

Package for solving generalized BdG mean field theory of interacting systems.

Automatic Differentiation Mean Field Approach

Computational statistical mechanics of field-responsive polymer chains

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

Mean field methods in the context of continuum mechanics with special focus on orientation averaging homogenization

Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.

Mean field theory and cavity method implementation.

Here I implemented a simulation to predict the outcome of the FIFA Men's World Cup 2022.

Mean field variational Gaussian process algorithm. This repository contains a python3 implementation of the variational mean field algorithm as described in the paper: Physical Review E. vol. 91, 2015, 012148.

A C++ program for solving the mean field equation in Holstein model and periodic Anderson model with Holstein phonons, with phonon displacement as the order parameter.