| ashnkumar/sketch-code |
4,714 |
|
0 |
0 |
over 3 years ago |
0 |
|
30 |
|
Python |
| Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images. |
| google-research/uda |
1,782 |
|
0 |
0 |
over 4 years ago |
0 |
|
65 |
apache-2.0 |
Python |
| Unsupervised Data Augmentation (UDA) |
| mit-han-lab/data-efficient-gans |
1,231 |
|
0 |
0 |
over 2 years ago |
0 |
|
25 |
bsd-2-clause |
Python |
| [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training |
| arcelien/pba |
400 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
apache-2.0 |
Jupyter Notebook |
| Efficient Learning of Augmentation Policy Schedules |
| wagamamaz/tensorlayer-tricks |
351 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
|
| How to use TensorLayer |
| EricZgw/PyramidBox |
256 |
|
0 |
0 |
over 7 years ago |
0 |
|
20 |
|
Python |
| A Context-assisted Single Shot Face Detector in TensorFlow |
| ecs-vlc/FMix |
254 |
|
0 |
0 |
about 5 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation' |
| drscotthawley/panotti |
248 |
|
0 |
0 |
over 4 years ago |
0 |
|
16 |
mit |
Python |
| A multi-channel neural network audio classifier using Keras |
| takerum/vat_tf |
199 |
|
0 |
0 |
almost 8 years ago |
0 |
|
10 |
mit |
Python |
| Virtual adversarial training with Tensorflow |
| hwalsuklee/tensorflow-mnist-cnn |
171 |
|
0 |
0 |
over 7 years ago |
0 |
|
7 |
|
Python |
| MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented. |
