Ayesha Anwar Shaikh's repositories
Ayurvedic-Patient-Diagnosis
This is a machine learning project developed to assist an Ayurvedic practitioner in classifying patients as healthy or non-healthy. The project uses patient demographics, image data, and a questionnaire to make predictions using various machine learning models. The repository contains the code and results of the project.
Research-Project-Multi-Task-Learning-for-3D-Metal-Printing-Optimization
This repository hosts the codebase and documentation for an innovative research project aiming to enhance the Selective Laser Melting (SLM) process in 3D metal printing through deep learning. The project centers on multi-task learning (MTL), utilizing pre-trained models like VGG16.
Ayesha-12345
Config files for my GitHub profile.
Crude-Oil-Price-Forecasting
Crude Oil Price Forecasting
DeepLIIF
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23]