Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.
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Updated
Oct 2, 2019 - Python
Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.
Assortment of code for model systems in computational physics. github.com/rajeshrinet/compPhy
Statistical Mechanics on Lattices
Python implementation of the Ising model
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
A program implementing Metropolis Monte Carlo for the 2D square-lattice Ising model and the spin block renormalization
Generate 1- and 2-electron integrals so that molecular quantum chemistry software can be used for model Hamiltonians.
An information-theoretic pipeline for methylation analysis of WGBS data
Quantum Monte Carlo methods for Ising model
A classic implementation in C++ of the famous 2D Ising Model.
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
Sawatabi is an application framework to develop and run stream-data-oriented Ising applications with quantum annealing.
Differentiable Tensor Renormalization Group for square Ising
Coherent Ising Machine implementation, simulation, Python codes for MC simulation
Monte Carlo simulations of magnetic systems in Python
PXO (Poly-XTAL Operations). Generate, analyze and export complex 2D space partitions like metallic grain structures
PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing
Repository for the Software and Computing for Applied Physics Project
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