hananshafi/covid19-detection

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Created over 4 years ago
Updated over 4 years ago

hananshafi/covid19-detection

hananshafi

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This code is for predicting COVID-19 from chest Xrays. The model currently has 95% accuracy.

vits-for-small-scale-datasets

[BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"

channel-estimation

Python code for estimating Channel parameter in Cognitive Radio

Jupyter Notebook

Image-Augmentation-using-GAN

This repository contains python notebook for generating new set of images from existing images using Generative Adversarial Networks. The code has been tested on MNIST Dataset and can be extended to any other dataset

Jupyter Notebook

Alzheimer-s-Detection

This repository contains code for detecting Alzheimer's patients from linguistic cues.

Jupyter Notebook

Covid19-ClinicalReports-Detection

This projects aims to provide a headstart to detect covid-19 from patient symptoms, clinical notes on lung xray analysis and other factors.

Jupyter Notebook

MTL-ViT

A new multi-task learning framework using Vision Transformers

Multi-Task-Learning

This repo contains code and exhaustive experiments on smart multi-task learning

Jupyter Notebook

vane-benchmark

Project page for VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs