- CelebA used in the project
- Printing texts on faces
- Photos with texts as input, original photos as target
- A customized UNet model used
- Scraping image data from the web
- An object detection project
- Faster R CNN used as the model
- The project differentiates fruits from each other
- A Dynamic Web Application
- JS and Bootstrap used in fronend
- Django used in back end & PostgreSQL as Database
- Most of Bootstrap components used
- Amazon Review Data used
- Different GRU & LSTM models chosen
- Attention used to improve model
- Pre-trained word Embeddings used
- Web scraping data from internet
- Clean and clear code
- TensorFlow 1 used as ML Framework
- Having more than 40 stars on GitHub