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  • šŸ‘‹ Hi, This is Hanan. I am an MS grad from the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI)
  • šŸ‘€ Iā€™m interested in the theory and applications of deep learning specifically in the realm of computer vision.
  • šŸ“« You can reach out to me at: [email protected]
  • Visit my homepage to know more about my research: https://hananshafi.github.io/

Hanan Gani's Projects

coding-challenge icon coding-challenge

This repository contains training code for determing normal and flipped images on google streetview dataset

conversion-script icon conversion-script

Python code for converting image file of any type to jpg and resizing to any dimensions

covid-19-mathematical-spread icon covid-19-mathematical-spread

This repository contains code for mathematical modelling of covid-19 spread and prediction of new cases in for next 'n' number of days

covid19-clinicalreports-detection icon 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.

covid19-detection icon covid19-detection

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

dialogflow-python-client icon dialogflow-python-client

This repository contains a Python client for Dialogflow by which user can create intents and train the dialogflow model with different training phrases without actually going into the dialogflow console.

disguised-facial-recog icon disguised-facial-recog

A state-of-the-art deep CNN model for detecting specific key-points on disguised face and then classifiying them on the basis of detected key-points

emotion-recognition icon emotion-recognition

This repository presents efficient code for Emotion Recognition using Facial Expresions

image-augmentation icon image-augmentation

This repository presents different types of image augmentations methods clubbed under a common class

image-augmentation-using-gan icon 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

intent-handler-alexa icon intent-handler-alexa

This project is about extracting intents from commands and then executing the required API's pertaining to the slot names contained in that intent,

intent-handler-alexaskills icon intent-handler-alexaskills

This code is about extracting intents from the commands and then executing the required API's pertaining to the slot names in the intent.

llm-blueprint icon llm-blueprint

[ICLR 2024] Official project page for the paper "LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts"

llmblueprint icon llmblueprint

[ICLR 2024] Official code for the paper "LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts"

medcontext icon medcontext

[MICCAI 2024] Official code for the paper "MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation"

medical-transformer icon medical-transformer

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

mtl-vit icon mtl-vit

A new multi-task learning framework using Vision Transformers

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