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Vanessa Vichi 4c2bfb1af9 Jupyter notebook used for 1) training the NN, 2) evaluating its performance on the NEOPOP test set and on the real NEOs dataset
2024-05-12 10:24:46 +02:00
NEOPOP_output_files
Output files of the NEOPOP run
2024-05-09 09:44:30 +02:00
split_dataset
NEOPOP DataFrame split into training, validation, test
2024-05-09 09:47:58 +02:00
trained_models
Saved weights of Models 1,2 after a 500-epoch training (for both models) and a 1000-epoch training for Model 1
2024-05-12 10:19:36 +02:00
.gitignore
Initial commit
2024-04-27 13:20:42 +00:00
baseline_performance.ipynb
Jupyter notebook for evaluating the baseline performance: comparison of various metrics for the baseline model, the linear regression model and the polynomial regression model of degrees 2 and 3
2024-05-09 09:57:48 +02:00
dataframe.csv
NEOPOP DataFrame
2024-05-08 18:38:45 +02:00
dataset_splitting.ipynb
Jupyter notebook for splitting the NEOPOP dataset into training, validation and test (with checks over the distribution of the various parts)
2024-05-09 09:54:30 +02:00
expl_data_analysis.ipynb
Jupyter notebook for preliminary data exploration
2024-05-09 09:50:42 +02:00
kep_to_att.ipynb
Conversion from Keplerian elements to attributable elements
2024-05-11 10:58:40 +02:00
LICENSE
Initial commit
2024-04-27 13:20:42 +00:00
neopop_attr.csv
DataFrames with the attributable elements
2024-05-12 10:22:38 +02:00
neos_attr.csv
DataFrames with the attributable elements
2024-05-12 10:22:38 +02:00
neos_dataframe.csv
Pre-processed NEOs DataFrame
2024-05-12 10:20:59 +02:00
neos_dataset_preprocessing.ipynb
Jupyter Notebook for pre-processing of the NEOs DataFrame
2024-05-11 10:49:36 +02:00
NeuralNetwork.ipynb
Jupyter notebook used for 1) training the NN, 2) evaluating its performance on the NEOPOP test set and on the real NEOs dataset
2024-05-12 10:24:46 +02:00
README.md
Initial commit
2024-04-27 13:20:42 +00:00
sbdb_query_results.csv
NEOs DataFrame
2024-05-08 18:39:55 +02:00
weight_initialization.ipynb
Jupyter notebook for choosing the best initialization technique
2024-05-09 10:04:46 +02:00

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.

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Description
This repository contains the codes used to explore the data generated by NEOPOP, build the neural network, tune the hyperparameters and analyse the results.
Readme MIT
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Jupyter Notebook 99.9%