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agriculture-vision-segmentation

bio_image_caption

Biomedical Image Captioning

chest-x-ray-classification

Chest X-ray Classification is based on computer vision algorithms. It analyses the x-rays uploaded by the user and classifies them into the appropriate diseases. Diseases that it can predict are Edema, Hernia, Mass, Pneumonia, Infiltration, Fibrosis, and many more.

coco-caption

coco-caption-py3

Evaluation codes for MS COCO caption generation (Python3).

diagnose-and-explain

An attention-based CNN-LSTM model that generates and explains Chest X-ray diagnostics using Natural Language

eeap-examples

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

groundedtranslation

Multilingual image description

image-captioning

Image Captioning with Keras

image-captioning-transformer

Neural Image Captioning with Transfer Learning and Transformer

imcap_keras

Image captioning with spatial attention using keras with tensorflow backend

keras-image-caption

keras-transformer-xl

Transformer-XL with checkpoint loader

medical-report-generation

A pytorch implementation of On the Automatic Generation of Medical Imaging Reports.

neural_image_captioning

Neural image captioning (NIC) implementation with Keras 2.

r2gen

scamet_rsic

This is tensorflow 2.2 based SCAMET framework for remote sensing image captioning.

show-attend-and-tell

TensorFlow Implementation of "Show, Attend and Tell"

show_attend_and_tell.keras

A keras implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

video-paragraph-captioning---keras

Generating paragraph captions for videos