banunitte

Classify-biomedical-abstracts-using-Transformers

Build a text classifier which classifies the abstracts into one of the 26 disease categories using Deep Learning

Code-generation-using-GPT2

It helps the programmers to code faster in Python with Line-of-Code completions. Line-of-Code Completions feature uses deep learning to serve context-relevant code completions in real time Its built using hugging face transformers library.

DV_DEMO

dvnewbanu

Generate-image-caption-using-Transformers

The example notebook demonstrates how to create the captioning for images using Transformers architecture

Github-issue-summarization-using-T5

The example notebook demonstrates how to finetune the t5 model for summarization task

Images

Latent-Aspect-Rating-Analysis-on-TripAdvisor-data

Train a machine learning model that is capable to predict the hotel rating based on the text of the review

Natural-language-image-search-

The example demonstrates how to build a dual encoder neural network model to search for images using natural language.The idea is to train a vision encoder and a text encoder jointly to project the representation of images and their captions into the same embedding space, such that the caption embeddings are located near the embeddings of the images they describe.

personal

banunitte/Code-generation-using-GPT2

It helps the programmers to code faster in Python with Line-of-Code completions. Line-of-Code Completions feature uses deep learning to serve context-relevant code completions in real time Its built using hugging face transformers library.

banunitte/Classify-biomedical-abstracts-using-Transformers

Build a text classifier which classifies the abstracts into one of the 26 disease categories using Deep Learning

banunitte/DV_DEMO

banunitte/dvnewbanu

banunitte/Generate-image-caption-using-Transformers

The example notebook demonstrates how to create the captioning for images using Transformers architecture

banunitte/Github-issue-summarization-using-T5

The example notebook demonstrates how to finetune the t5 model for summarization task

banunitte/Images

banunitte/Latent-Aspect-Rating-Analysis-on-TripAdvisor-data

Train a machine learning model that is capable to predict the hotel rating based on the text of the review

banunitte/Natural-language-image-search-

The example demonstrates how to build a dual encoder neural network model to search for images using natural language.The idea is to train a vision encoder and a text encoder jointly to project the representation of images and their captions into the same embedding space, such that the caption embeddings are located near the embeddings of the images they describe.

banunitte/personal

banunitte/Time-series-forecasting

Time series forecasting

banunitte/Traffic-Rules-Violation-Detection-with-Computer-Vision

The goal of the project is to automate the traffic rules violation detection system and make it ease for the traffic police department to monitor the traffic and take action against the violated vehicle owner in a fast and efficient way. Detecting and tracking the vehicle and their activities accurately is the main priority of the system.

banunitte/Watermark-removal-using-GAN

The example demonstrates how to remove watermark from images using GAN (Pix-to-Pix) architecture

banunitte/WaterWave

WaterWave Effects