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xxl4tomxu98
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autoencoder-feature-extraction
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Commits on Apr 14, 2023
Create README.md
xxl4tomxu98
authored
3dbc3f8
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Commits on May 22, 2022
move francois to convolutional autoencode
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committed
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Commits on Oct 13, 2021
autoencoding with LR is better than one hot encoding LR alone2
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committed
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autoencoding with LR is better than one hot encoding LR alone1
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committed
3329673
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autoencoding with LR is better than one hot encoding LR alone
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committed
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Commits on Oct 12, 2021
one hot encode with logistic regression
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committed
292e12f
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Commits on Oct 11, 2021
autoencoder as way for dimension reduction
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committed
fd09c53
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implemented PCA reduction from 6714 to 1400
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committed
32a5072
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ae and pca
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committed
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Commits on Oct 9, 2021
separate pytorch and tf examples
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committed
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ohe-tf
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committed
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Commits on Oct 7, 2021
diff between pca and autoencoder-what is cooking3
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committed
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diff between pca and autoencoder-what is cooking2
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committed
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diff between pca and autoencoder-what is cooking1
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committed
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Commits on Oct 6, 2021
diff between pca and autoencoder-what is cooking
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committed
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Commits on Oct 5, 2021
diff between pca and autoencoder
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committed
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feature extractionnew notebook on autoencoder rmse column in gbm input matrix1
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committed
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Commits on Oct 4, 2021
feature extractionnew notebook on autoencoder rmse column in gbm input matrix
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committed
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Commits on Sep 26, 2021
feature: rerun chollet VAE model have version issue
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committed
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Commits on Sep 25, 2021
feature: add xgboost and lgbm the same way we see slight improvement by using autoencoder
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committed
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Commits on Sep 24, 2021
feature: add GBM classfifier and get the same result as regressor with autoencoder
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committed
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feature: hyperparam tuning and eautoencoder prediction plot using pca
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committed
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feature: add GBM regressor in lieu of LR
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committed
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Commits on Sep 21, 2021
encoder compressed to improve sklearn performance
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Commits on Sep 18, 2021
feature: add francois-chollet notebook
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committed
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Commits on Sep 17, 2021
added both uncompressed and compressed bottleneck layers
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committed
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initial first timer sklearn classification using autoencoder extracting features
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