This project uses restricted Boltzmann machines (RBMs) to generate new Ising model spin states after being trained on data. Further details and the effect this has can be found in the report in root. Implemented using Python with SciKit-Learn. Training data generated using the program found at https://github.com/akoreman/Monte-Carlo-Ising-Model .
This repository has been archived by the owner on Feb 1, 2022. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 1
Project to generate novel Ising model spin states using Restricted Boltzmann Machines. Implemented using Python and SciKit-Learn. Coursework for course on Neural Networks. (MSc Computer Science level, Leiden University)
akoreman/Restricted-Boltzmann-Machine-Generative-Ising-Model
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Project to generate novel Ising model spin states using Restricted Boltzmann Machines. Implemented using Python and SciKit-Learn. Coursework for course on Neural Networks. (MSc Computer Science level, Leiden University)
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published