Shashank Gupta's Projects
perform data augmentation by applying affine transformation to the images
Fine tuning Resnet50 and creating various CNN models with/without Regularization to detect the ASL sign languages
This work includes script to find the demographics of the posters on AskDoc subreddit
Automated Medical Report Generation from Chest X-Rays Images
built a retriever which can efficiently retrieve the relevant Pubmed abstracts for a given biomedical domain question. performed MIPS to retrieve the top 10 passages and measured the accuracy of those 10 retrieved passages. We observed the top 10 accuracy is 0.69 based on our test dataset.
This project includes data which are classified as Cancer and Non cancer by experts. We are using Naive Bayes method to classify the texts on test set.
CS505 Spring 2022 Final Project
compute image statistics, histogram, histogram equalization and binarize it.
Face, eyes and nose detection using HAAR
Fine-tune the CNN trained on MNIST digit classification or the subset of PASCAL VOC 2005 dataset, for classification of images in fashion MNIST dataset.
This repository contains the work to finetune Llama-2 7B HF model using LoRA on 1 A100 40GB GPU
inpainting operation based on the algorithm Fast Marching to remove glare from the image.
To develop a two-class fingerprint spoof detector that uses Local Binary Patterns (LBP) and Histogram of Oriented Gradients (HOG) features along with Support Vector Machines (SVM) to distinguish live fingerprints images from spoof samples
A Serverless Text Annotation Tool for Corpus Development
The fundamental package for scientific computing with Python.
Project for end to end relation extraction on Rare Disease
Sentiment analysis of some of the game reviews posted on subreddit r/gaming. This project could help businesses to improve the areas where there users feel needs imrovement
Config files for my GitHub profile.
classification of randomly chosen images using VGG-19 model