GitHub - dcolinmorgan/prediction: various LSTM frameworks for time-series prediction of age groups not characterized by -omics

Link prediction of age-based networks not captured in data

try to predict network edges/ infer networks for younger ages from older population data (40-80yo) executable jupyter notebook via colab

try to bypass 2020 data to predict what it would have looked like executable jupyter notebook via colab

links as follows:

Name		Name	Last commit message	Last commit date
Latest commit History 41 Commits
2xCOPD_gender.ipynb		2xCOPD_gender.ipynb
LTCOPD_TF_pheno.ipynb		LTCOPD_TF_pheno.ipynb
LTCOPD_TS_LSTM.ipynb		LTCOPD_TS_LSTM.ipynb
LTRC_TS_LSTM.ipynb		LTRC_TS_LSTM.ipynb
LTRC_deg_LSTM.ipynb		LTRC_deg_LSTM.ipynb
PANDA_null.ipynb		PANDA_null.ipynb
PRS_MMoll.ipynb		PRS_MMoll.ipynb
README.md		README.md
covid19.ipynb		covid19.ipynb
finance_LSTM.ipynb		finance_LSTM.ipynb
forecast_lstm_stock.ipynb		forecast_lstm_stock.ipynb
gpuMilipeed_bench.ipynb		gpuMilipeed_bench.ipynb
index.html		index.html
sept_fold_LSTM.ipynb		sept_fold_LSTM.ipynb
tpu_LTRC_doge_LSTM.ipynb		tpu_LTRC_doge_LSTM.ipynb
tpu_LTRC_eth_LSTM.ipynb		tpu_LTRC_eth_LSTM.ipynb
tpu_LTRC_valid_LSTM.ipynb		tpu_LTRC_valid_LSTM.ipynb
tpu_june_fullLSTM.ipynb		tpu_june_fullLSTM.ipynb
tpu_midjune_fullLSTM.ipynb		tpu_midjune_fullLSTM.ipynb
working_tpu_LTRC_doge_LSTM.ipynb		working_tpu_LTRC_doge_LSTM.ipynb