| eriklindernoren/Keras-GAN |
8,842 |
|
0 |
0 |
over 3 years ago |
0 |
|
142 |
mit |
Python |
| Keras implementations of Generative Adversarial Networks. |
| jeffheaton/t81_558_deep_learning |
5,590 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
other |
Jupyter Notebook |
| T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis |
| idealo/image-super-resolution |
4,392 |
|
0 |
0 |
over 2 years ago |
0 |
|
106 |
apache-2.0 |
Python |
| 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. |
| zhixuhao/unet |
4,218 |
|
0 |
0 |
almost 3 years ago |
0 |
|
203 |
mit |
Jupyter Notebook |
| unet for image segmentation |
| leriomaggio/deep-learning-keras-tensorflow |
2,863 |
|
0 |
0 |
over 4 years ago |
0 |
|
12 |
mit |
Jupyter Notebook |
| Introduction to Deep Neural Networks with Keras and Tensorflow |
| danielegrattarola/spektral |
2,317 |
|
0 |
6 |
about 2 years ago |
34 |
June 01, 2023 |
67 |
mit |
Python |
| Graph Neural Networks with Keras and Tensorflow 2. |
| Kayzaks/HackingNeuralNetworks |
2,215 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| A small course on exploiting and defending neural networks |
| PetarV-/GAT |
2,078 |
|
0 |
0 |
over 4 years ago |
0 |
|
27 |
mit |
Python |
| Graph Attention Networks (https://arxiv.org/abs/1710.10903) |
| msgi/nlp-journey |
1,563 |
|
0 |
0 |
over 2 years ago |
3 |
April 29, 2020 |
0 |
apache-2.0 |
Python |
| Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0. |
| trekhleb/machine-learning-experiments |
1,552 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo |
