renormalization-group

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.

A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.

Implementation of the GILT + HOTRG and calculating scaling dimensions through the linearized RG equation of the GILT + HOTRG.

PyR@TE 3

Official implementation of spectrum bifurcation renormalization group(SBRG), which is suitable for quantum simulation on strong disordered systems for 1D and 2D. Paper: arXiv:2008.02285[https://arxiv.org/abs/2008.02285], Phys. Rev. B 93, 104205 (2016)[https://arxiv.org/abs/1508.03635]

A Tensor Network package for Machine Learning and Quantum Computing in Python.

Novel real space renormalization group approach for many-body localization criticality problems

Using simple TRG code to benchmark different tensor implements.

Nuclear physics at low renormalization group resolution.

Notebooks developed in Mathematica for my Ph.D. thesis and other resources

TeNeT is a tensor-network renormalization code for the statistical mechanics of lattice models. The main application is adsorption of molecules on surfaces.

Renormalization for the break-up of invariant tori in Hamiltonian flows

Royal Gramma UI / Renormalization Group UI

Code for RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior.

Big Bang as UV fixed point of quantum gravity. 0/0 framework for Millennium Problems. Flat Higgs potential at FP encodes mass. Matter shifts FP to AdS. Falsifiable: 2 relevant directions. Certified line: 87-check soliton ECA suite + Lean 4 twin proofs (mathlib); seven Millennium problems declared NOT SETTLED.

This repository implements a high-performance Inverse Renormalization Group (IRG) framework using Convolutional Neural Networks (CNN).

This repository contains a speculative research note in theoretical physics, the toy models built to probe it, and, importantly, the experiments that failed. Nothing here claims to be a theory of quantum gravity. What you will find is a research process, documented honestly enough that someone else can pick it up, including its dead ends.

Code for Important Processing Steps For .Tiff or .Raw Video Files Acquired From 2-Photon Imaging System + Completely Automated and With NWB Schema (.HDF5) Capability

Neural operators mapping QFT actions to boundary correlators in Euclidean AdS2, with live WebGPU surfaces and browser-side inference