| MorvanZhou/PyTorch-Tutorial |
7,372 |
|
0 |
0 |
about 3 years ago |
0 |
|
28 |
mit |
Jupyter Notebook |
| Build your neural network easy and fast, 莫烦Python中文教学 |
| poloclub/cnn-explainer |
6,966 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
JavaScript |
| Learning Convolutional Neural Networks with Interactive Visualization. |
| tkipf/gcn |
6,679 |
|
0 |
0 |
about 3 years ago |
0 |
|
121 |
mit |
Python |
| Implementation of Graph Convolutional Networks in TensorFlow |
| aladdinpersson/Machine-Learning-Collection |
6,173 |
|
0 |
0 |
over 2 years ago |
0 |
|
95 |
mit |
Python |
| A resource for learning about Machine learning & Deep Learning |
| 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 |
| dennybritz/cnn-text-classification-tf |
5,256 |
|
0 |
0 |
over 5 years ago |
0 |
|
110 |
apache-2.0 |
Python |
| Convolutional Neural Network for Text Classification in Tensorflow |
| udacity/deep-learning-v2-pytorch |
4,973 |
|
0 |
0 |
almost 3 years ago |
0 |
|
15 |
mit |
Jupyter Notebook |
| Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 |
| 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 |
| tkipf/pygcn |
2,952 |
|
0 |
0 |
over 5 years ago |
0 |
|
42 |
mit |
Python |
| Graph Convolutional Networks in PyTorch |
