| 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. |
| 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. |
| Hyperparticle/one-pixel-attack-keras |
1,078 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet |
| monkeyDemon/AI-Toolbox |
160 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Python |
| Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas |
| robinreni96/Font_Recognition-DeepFont |
136 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| Its a implementation of DeepFont : Identify Your Font from An Image using Keras |
| simontomaskarlsson/GAN-MRI |
118 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
gpl-3.0 |
Python |
| Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT' |
| simontomaskarlsson/CycleGAN-Keras |
115 |
|
0 |
0 |
over 6 years ago |
0 |
|
14 |
gpl-3.0 |
Python |
| Keras implementation of CycleGAN using a tensorflow backend. |
| Furkan-Gulsen/Sport-With-AI |
107 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| The human body is detected with the help of the Mediapipe library. Then, using the mathematical methods applied, it is determined how much the exercise count is done. |
| aitorzip/Keras-ICNet |
85 |
|
0 |
0 |
about 8 years ago |
0 |
|
11 |
mit |
Python |
| Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images |
| Adeel-Intizar/Xtreme-Vision |
76 |
|
0 |
0 |
almost 4 years ago |
18 |
July 18, 2022 |
2 |
mit |
Jupyter Notebook |
| A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities. |
