https://github.com/andleb/ganising

UC Berkeley CS281A/STAT241 - Statistical Learning Theory: Fall 2021 final project showcase example: Solving the Ising model with Generative Adversarial Networks
https://github.com/andleb/ganising

deep-learning gans ising-model machine-learning monte-carlo

Last synced: 5 months ago
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UC Berkeley CS281A/STAT241 - Statistical Learning Theory: Fall 2021 final project showcase example: Solving the Ising model with Generative Adversarial Networks

• Host: GitHub
• URL: https://github.com/andleb/ganising
• Owner: andleb
• License: mit
• Created: 2021-12-18T02:38:43.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-02-14T02:54:56.000Z (over 4 years ago)
• Last Synced: 2025-09-09T06:42:20.839Z (9 months ago)
• Topics: deep-learning, gans, ising-model, machine-learning, monte-carlo
• Language: Jupyter Notebook
• Homepage:
• Size: 1.77 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: citation.cff

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README

          
# ganIsing: Solving the 2D Ising model using GANs

UC Berkeley CS281A/STAT241 - Statistical Learning Theory: Fall 2021 final project showcase example

A brief report and an overview of the usage of GANs in Physics simulations is located in the `leban_andrej-CS281A_final.pdf` file.