Sketch Code
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Sketch Code | 4,714 | a year ago | 30 | Python | ||||||
| Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images. | ||||||||||
| Image Super Resolution | 4,392 | 4 months ago | 106 | apache-2.0 | Python | |||||
| 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. | ||||||||||
| One Pixel Attack Keras | 1,078 | 3 years ago | 4 | mit | Jupyter Notebook | |||||
| Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet | ||||||||||
| Ai Toolbox | 160 | 4 years ago | Python | |||||||
| Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas | ||||||||||
| Font_recognition Deepfont | 136 | a year ago | 5 | mit | Jupyter Notebook | |||||
| Its a implementation of DeepFont : Identify Your Font from An Image using Keras | ||||||||||
| Gan Mri | 118 | 4 years ago | 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' | ||||||||||
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| 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. | ||||||||||
| Keras Icnet | 85 | 6 years ago | 11 | mit | Python | |||||
| Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images | ||||||||||
| Xtreme Vision | 76 | 2 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. | ||||||||||
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Python
Html
Deep Learning
Tensorflow
Keras
Image Processing
Augmentation