Vanessa Vichi
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4c2bfb1af9
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Jupyter notebook used for 1) training the NN, 2) evaluating its performance on the NEOPOP test set and on the real NEOs dataset
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7 months ago |
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Vanessa Vichi
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9d4c656139
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DataFrames with the attributable elements
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7 months ago |
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Vanessa Vichi
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35a0e891fd
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Pre-processed NEOs DataFrame
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7 months ago |
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Vanessa Vichi
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fb3ba5006d
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Saved weights of Models 1,2 after a 500-epoch training (for both models) and a 1000-epoch training for Model 1
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7 months ago |
Vanessa Vichi
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2077014614
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Conversion from Keplerian elements to attributable elements
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7 months ago |
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Vanessa Vichi
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66775f772a
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Jupyter Notebook for pre-processing of the NEOs DataFrame
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7 months ago |
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Vanessa Vichi
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dc610efe37
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Jupyter notebook for choosing the best initialization technique
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7 months ago |
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Vanessa Vichi
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b3196ff82b
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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
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7 months ago |
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Vanessa Vichi
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fea26621fc
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Jupyter notebook for splitting the NEOPOP dataset into training, validation and test (with checks over the distribution of the various parts)
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7 months ago |
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Vanessa Vichi
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67bbd480a4
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Jupyter notebook for preliminary data exploration
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7 months ago |
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Vanessa Vichi
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66021848e3
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NEOPOP DataFrame split into training, validation, test
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7 months ago |
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Vanessa Vichi
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44da7616fa
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Output files of the NEOPOP run
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7 months ago |
Vanessa Vichi
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598f8fedd3
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NEOs DataFrame
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7 months ago |
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Vanessa Vichi
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81b4e797b3
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NEOPOP DataFrame
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7 months ago |
 v.vichi3
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a491844d25
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Initial commit
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7 months ago |