| kk7nc/RMDL |
409 |
|
1 |
0 |
almost 3 years ago |
7 |
July 01, 2020 |
2 |
gpl-3.0 |
Python |
| RMDL: Random Multimodel Deep Learning for Classification |
| yu4u/mixup-generator |
212 |
|
0 |
0 |
over 8 years ago |
0 |
|
6 |
mit |
Jupyter Notebook |
| An implementation of "mixup: Beyond Empirical Risk Minimization" |
| yu4u/cutout-random-erasing |
125 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras |
| mrgloom/keras-semantic-segmentation-example |
44 |
|
0 |
0 |
almost 8 years ago |
0 |
|
1 |
|
Python |
| Example of semantic segmentation in Keras |
| JulieProst/keras-tuner-tutorial |
22 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
Python |
| Hands on tutorial for keras-tuner |
| Eric3911/yolov3_keras |
6 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
Python |
| nsarang/ImageDenoisingAutoencdoer |
5 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras |
| paulfitz/segmenty |
5 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| training convnets to segment visual patterns without annotated data |
