Implementation of the paper 'Gyroscope-Aided Motion Deblurring with Deep Networks' https://arxiv.org/abs/1810.00986

Scraping paper data, preprocessed and trained using BERT variants, deployment and an integration to website

A sophisticated multilabel text classification model to seamlessly categorize diverse quote tags.

Efficient Text Summarization: Generating Concise Highlights

A multilabel text classifier model which can predict book genres based on the description provided.

Classifying, summarzing and topic extracting from text transcribing from video or audio soruces.

Classify 160 different tags from scifi and fantasy questions.

A multi-label text classification model which can classify the tasks based on the abstract of publication paper.

A multi-label text classifier that can classify 69 different programming related question category based on question description.

A text classification model from data collection, model training, and deployment.

The region containing the face is blurred in Realtime

This ML Model will help you to choose desired laptop based on your given information & requirements.

Classify movie genre from its summary.

Multilabel Dataset Category Classifer which can classify different types of dataset category based on description.