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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Configs
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imports
imports
 
 
tutorial_data
tutorial_data
 
 
.gitignore
.gitignore
 
 
Denoise_model.py
Denoise_model.py
 
 
Denoising_Model.ipynb
Denoising_Model.ipynb
 
 
HPC.py
HPC.py
 
 
HPC_N256.py
HPC_N256.py
 
 
HPC_N32_N256.py
HPC_N32_N256.py
 
 
LICENSE
LICENSE
 
 
Parameter Usage.md
Parameter Usage.md
 
 
README.md
README.md
 
 
Requirements.txt
Requirements.txt
 
 
__init__.py
__init__.py
 
 
adabound.py
adabound.py
 
 
data_representation.ipynb
data_representation.ipynb
 
 
main.py
main.py
 
 

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Nuclear spin detection via deep learning models

This repository contains the codes in the paper - Deep learning enhanced individual nuclear-spin detection

All datasets is available on request.

Tutorials in step by step (Recommended: open in Chrome (Windows) or Safari (Mac) broswer)

　　　Part 1. Data handling and generation in the proposed representation Link
　　　Part 2. Denoising model Link
　　　Part 3. Hyperfine parameter classifier (HPC) model (in N32 CPMG signal) Link
　　　Part 4. Hyperfine parameter classifier (HPC) model (in N256 CPMG signal) Link
　　　Part 5. Regression Model Link

If there are any concerns or questions, please contact authors. ([email protected])

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