This repository contains the codes used to explore the data generated by NEOPOP, build the neural network, tune the hyperparameters and analyse the results.
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
Vanessa Vichi 67bbd480a4 Jupyter notebook for preliminary data exploration 7 months ago
NEOPOP_output_files Output files of the NEOPOP run 7 months ago
split_dataset NEOPOP DataFrame split into training, validation, test 7 months ago
.gitignore Initial commit 7 months ago
LICENSE Initial commit 7 months ago
README.md Initial commit 7 months ago
dataframe.csv NEOPOP DataFrame 7 months ago
expl_data_analysis.ipynb Jupyter notebook for preliminary data exploration 7 months ago
sbdb_query_results.csv NEOs DataFrame 7 months ago

README.md

Neural_Network_for_MOID_Prediction

This repository contains the codes used to explore the data generated by NEOPOP, build the neural network, tune the hyperparameters and analyse the results.