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Name		Name	Last commit message	Last commit date
.vscode		.vscode
Generate_neural_network_files		Generate_neural_network_files
Mdl		Mdl
Top3		Top3
__pycache__		__pycache__
html		html
COVID_PSK.csv		COVID_PSK.csv
Figure_1.png		Figure_1.png
Figure_2.png		Figure_2.png
Figure_4_1.png		Figure_4_1.png
Figure_5.png		Figure_5.png
Figure_5_1.png		Figure_5_1.png
Figure_5_2.png		Figure_5_2.png
Generate_neural_network.aux		Generate_neural_network.aux
Generate_neural_network.fdb_latexmk		Generate_neural_network.fdb_latexmk
Generate_neural_network.fls		Generate_neural_network.fls
Generate_neural_network.html		Generate_neural_network.html
Generate_neural_network.ipynb		Generate_neural_network.ipynb
Generate_neural_network.log		Generate_neural_network.log
Generate_neural_network.out		Generate_neural_network.out
Generate_neural_network.pdf		Generate_neural_network.pdf
Generate_neural_network.synctex.gz		Generate_neural_network.synctex.gz
Generate_neural_network.tex		Generate_neural_network.tex
Generate_neural_network_1.pdf		Generate_neural_network_1.pdf
Generate_neural_network_web.pdf		Generate_neural_network_web.pdf
Graph.gph		Graph.gph
Graph.png		Graph.png
HiddenMarkov.py		HiddenMarkov.py
MarkovReg.ipynb		MarkovReg.ipynb
MarkovReg.py		MarkovReg.py
Mdl_err.csv		Mdl_err.csv
Mdl_err1.csv		Mdl_err1.csv
Mdl_err1_top100.csv		Mdl_err1_top100.csv
Mdl_err_top100.csv		Mdl_err_top100.csv
PosprocessANN.ipynb		PosprocessANN.ipynb
Predict_neural_network.ipynb		Predict_neural_network.ipynb
TSLearn1.ipynb		TSLearn1.ipynb
TSLearn1_1.ipynb		TSLearn1_1.ipynb
TSLearn2.ipynb		TSLearn2.ipynb
TSLearn2_1.ipynb		TSLearn2_1.ipynb
TSLearn3.ipynb		TSLearn3.ipynb
TSLearn3_1.ipynb		TSLearn3_1.ipynb
TSLearn4.ipynb		TSLearn4.ipynb
TSLearn5.ipynb		TSLearn5.ipynb
TSLearn6.ipynb		TSLearn6.ipynb
TSLearn7.ipynb		TSLearn7.ipynb
TSLearn8.ipynb		TSLearn8.ipynb
TSRevenko.rar		TSRevenko.rar
df.csv		df.csv
fittedvalues.csv		fittedvalues.csv
fittedvalues1.csv		fittedvalues1.csv
load_csv.py		load_csv.py
load_csv_silent.py		load_csv_silent.py
logit_approx.py		logit_approx.py
markovs_reg_results.xlsx		markovs_reg_results.xlsx
model_architecture.png		model_architecture.png
model_architecture_2.png		model_architecture_2.png
model_architecture_3.png		model_architecture_3.png
model_architecture_4.png		model_architecture_4.png
model_architecture_dropout.png		model_architecture_dropout.png
my_gru_model.h5		my_gru_model.h5
my_gru_model_2layer.h5		my_gru_model_2layer.h5
my_gru_model_dropout.h5		my_gru_model_dropout.h5
my_lstm_model.h5		my_lstm_model.h5
my_lstm_model_2layer.h5		my_lstm_model_2layer.h5
my_lstm_model_dropout.h5		my_lstm_model_dropout.h5
new_df.csv		new_df.csv
pmdARIMA.py		pmdARIMA.py
pythonTS.py		pythonTS.py
regimes.csv		regimes.csv
regimes1.csv		regimes1.csv
resid.csv		resid.csv
resid1.csv		resid1.csv
simple_reg.py		simple_reg.py
Использование скрытых марковских моделей при анализе заболеваемости COVID.docx		Использование скрытых марковских моделей при анализе заболеваемости COVID.docx
Моделирование заболеваемости маровскими цепями с учетом трендов и разного колоичества режимов.docx		Моделирование заболеваемости маровскими цепями с учетом трендов и разного колоичества режимов.docx
Некоторые статистические методы прогнозирования заболеваемости COVID.docx		Некоторые статистические методы прогнозирования заболеваемости COVID.docx
ф.png		ф.png
ы.png		ы.png
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