| 0 |
100% |
27.274 |
2019-03-18 |
explore/search_images_keras.ipynb |
Search images with deep learning (keras) |
True |
29.165 |
49 |
49 |
49 |
| 1 |
100% |
9.585 |
2019-03-18 |
explore/search_images_torch.ipynb |
Search images with deep learning (torch) |
True |
11.087 |
31 |
31 |
31 |
| 2 |
100% |
64.014 |
2019-03-18 |
sklearn/faster_polynomial_features.ipynb |
Faster Polynomial Features |
True |
65.137 |
26 |
26 |
26 |
| 3 |
100% |
5.023 |
2019-03-18 |
sklearn/logistic_regression_clustering.ipynb |
LogisticRegression and Clustering |
True |
6.082 |
16 |
16 |
16 |
| 4 |
100% |
10.331 |
2019-03-18 |
sklearn/piecewise_classification.ipynb |
Piecewise classification |
True |
12.090 |
16 |
16 |
16 |
| 5 |
100% |
3.547 |
2019-03-18 |
sklearn/piecewise_linear_regression.ipynb |
Piecewise linear regression |
True |
5.104 |
18 |
18 |
18 |
| 6 |
100% |
25.375 |
2019-03-18 |
sklearn/predictable_tsne.ipynb |
Predictable t-SNE |
True |
27.159 |
16 |
16 |
16 |
| 7 |
100% |
2.943 |
2019-03-18 |
sklearn/quantile_mlpregression.ipynb |
Quantile MLPRegressor |
True |
4.071 |
6 |
6 |
6 |
| 8 |
100% |
2.828 |
2019-03-18 |
sklearn/quantile_regression.ipynb |
Quantile Regression |
True |
4.095 |
14 |
14 |
14 |
| 9 |
100% |
2.592 |
2019-03-18 |
sklearn/visualize_pipeline.ipynb |
Visualize a scikit-learn pipeline |
True |
4.140 |
17 |
17 |
17 |
