Flower retrieval with streamlit
-
Updated
Apr 18, 2020 - Python
Flower retrieval with streamlit
Final assignment in the NLP course at the Technion (IEM097215). In this assignment we propose a novel architecture to handle both Text-to-Image translation and Image-to-Text translation tasks on paired data, using a unified architecture of transformers and CNNs and enforcing cycle consistency.
Image Classification Training Framework for Network Distillation
Floral Classifier using Discriminative Feature Learning
Spectrally Normalized GAN trained on Flowers102 dataset
FellowshipAi project
Utilizing transfer learning to build a model that can classify 102 different flower species
Created a CNN from scratch for the Flowers-102
Add a description, image, and links to the flowers102 topic page so that developers can more easily learn about it.
To associate your repository with the flowers102 topic, visit your repo's landing page and select "manage topics."