https://github.com/Emcc81/NFLMC

Dynamical sampling with Langevin Normalization Flow
https://github.com/Emcc81/NFLMC

Last synced: 27 days ago
JSON representation

Dynamical sampling with Langevin Normalization Flow

• Host: GitHub
• URL: https://github.com/Emcc81/NFLMC
• Owner: Emcc81
• Created: 2019-10-24T12:45:42.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2019-11-01T06:19:12.000Z (over 4 years ago)
• Last Synced: 2024-02-19T00:32:46.818Z (4 months ago)
• Language: Jupyter Notebook
• Size: 112 KB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Lists

• awesome-stars - Emcc81/NFLMC - Dynamical sampling with Langevin Normalization Flow (Jupyter Notebook)

README

        
# NFLMC

Dynamical sampling with Langevin Normalization Flow

The demo of NFLMC code (written in python3.5) which allows researchers to run the RING example. If Github can not open DemoNFLMC.ipynb. We can visit https://nbviewer.jupyter.org and type https://github.com/Emcc81/NFLMC/blob/master/DemoNFLMC.ipynb in the box to see the code and the result.

The code is written in jupyter notebook because it is easy for researcher to debug. 

Requirements:

tensorflow==1.5.0       

tensorflow-gpu==1.2.1       

tensorflow-tensorboard==1.5.1 

Environment：

Ubuntu

We strongly recommend researchers to use jupyter notebook to debug the code, although we also provide the 'DemoNFLMC.py' file.