Implementation of deep implicit attention in PyTorch
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Updated
Aug 2, 2021 - Python
Implementation of deep implicit attention in PyTorch
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
Implementation of approximate free-energy minimization in PyTorch
Monte Carlo simulation of the Ising Model using the Metropolis Algorithm
The Coastal version of the Stochastic Multcloud model
An example of definition and minimization of an MPS ansatz using tensorflow
A python toolbox for calculations on one dimensional quantum spin chains. Includes model Hamiltonians, operators, symmetries, spectrum analysis, entropy calculations, and examples.
Simulation code for a 2D Ising ferromagnet with periodic boundary conditions using the Wolff algorithm
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