Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
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Jun 28, 2024 - Python
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
paper lists and information on mean-field theory of deep learning
Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.
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
Python library to compute different properties of tight binding models
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
Hartree-Fock-Bogoliubov solver for a generic interacting fermion Hamiltonian
Automatic Differentiation Mean Field Approach
Computational statistical mechanics of field-responsive polymer chains
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.
Package for solving generalized BdG mean field theory of interacting systems.
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.
This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.
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.
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