Pinned Repositories
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's Repositories
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