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

Implementation of deep implicit attention in PyTorch

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.

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

Computational statistical mechanics of field-responsive polymer chains

Automatic Differentiation Mean Field Approach

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

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.

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

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

Mean field theory and cavity method implementation.

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.