GNP-Raman-Analysis.zip
GNP-Raman-Analysis
.DS_Store
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.git
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info
pack
refs
heads
master
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remotes
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tags
1_peak_fitting_algorithm
README.md
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concatenate.sh
76 Bytes
constraints
gnp_constraints.yaml
1.9 kB
modules
high_level_fitting.py
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peak_fitting
fit_peaks.py
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preprocessing
clean_cosmic_rays.py
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find_error.py
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importing.py
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normalising.py
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prepare_data_for_cnn.py
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run_fit.py
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runner.sh
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2_data_cleaning
README.md
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data_clean_fluorination_different_gnps.ipynb
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data_clean_puregraph_size_comparison.ipynb
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figures
Figure 3 (a).png
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Figure 3 (b).png
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Figure 4.png
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Figure 6 (a).png
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modules
data_cleaning.py
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3_data_disentangling
README.md
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data_disentangling_fluorination_different_gnps.ipynb
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data_disentangling_puregraph_size_comparison.ipynb
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figures
Figure 5 (a).png
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Figure 5 (b).png
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Figure 5 (c).png
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Figure 6 (b).png
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Figure 7.png
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modules
data_analysis.py
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disentangling_contributions.py
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simulations
Graph_1_La.csv
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Graph_2_Ld.csv
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4_machine_learning
README.md
770 Bytes
data
output
trained_model
MLmodel
380 Bytes
conda.yaml
345 Bytes
data
keras_module.txt
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model
keras_metadata.pb
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saved_model.pb
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variables
variables.data-00000-of-00001
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variables.index
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save_format.txt
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requirements.txt
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evaluating.py
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figures
Figure 8(b).png
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importing.py
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performance.ipynb
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pipeline.py
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training.py
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LICENSE
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README.md
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environment.yml
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__MACOSX
GNP-Raman-Analysis
._.DS_Store
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