FatimaZulfiqar
I'm a Master's graduate from COMSATS University Islamabad, Lahore Campus. My research area of interest are ML, CV & NN
Pinned Repositories
Adenoma-Detection-on-Colonoscopy
The project is based on a study on the rate of tubular adenoma detection on colonoscopy with patients with hep C vs non hep C patients. Our primary aim is to prove the rate of adenoma detection (column D - 1) is higher in hep C patients (Column C-1) as compared to normal patients.
Age-group-classification-from-images
Alzheimer-s-Classification-from-MRI
Anomaly-Detection
This notebook gives an example for an auto-encoder trained on UCSD Anomaly Detection Dataset
APTOS-Blindness-Detection
BiCnet-TKS
Code of BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification (CVPR 2021)
Brain-tumor-detection-using-Masked-RCNN
Email-Spam-Classification
multi-class-brain-tumor-classification
This repository contains the code of the paper Multi-class classification of brain tumor types from MR Images using EfficientNets
Person-ReID-STCANet
This repository contains the code of the paper Multi-Camera Person Re-Identification using Spatiotemporal Context Modeling
FatimaZulfiqar's Repositories
FatimaZulfiqar/multi-class-brain-tumor-classification
This repository contains the code of the paper Multi-class classification of brain tumor types from MR Images using EfficientNets
FatimaZulfiqar/Person-ReID-STCANet
This repository contains the code of the paper Multi-Camera Person Re-Identification using Spatiotemporal Context Modeling
FatimaZulfiqar/Anomaly-Detection
This notebook gives an example for an auto-encoder trained on UCSD Anomaly Detection Dataset
FatimaZulfiqar/Brain-tumor-detection-using-Masked-RCNN
FatimaZulfiqar/Adenoma-Detection-on-Colonoscopy
The project is based on a study on the rate of tubular adenoma detection on colonoscopy with patients with hep C vs non hep C patients. Our primary aim is to prove the rate of adenoma detection (column D - 1) is higher in hep C patients (Column C-1) as compared to normal patients.
FatimaZulfiqar/Age-group-classification-from-images
FatimaZulfiqar/Alzheimer-s-Classification-from-MRI
FatimaZulfiqar/APTOS-Blindness-Detection
FatimaZulfiqar/BiCnet-TKS
Code of BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification (CVPR 2021)
FatimaZulfiqar/Email-Spam-Classification
FatimaZulfiqar/Freiburg-Groceries-Classification
FatimaZulfiqar/Gender-Classification-from-Hebrew-Text
FatimaZulfiqar/GI-Bleed-Transfusion-Prediction
GI-Bleed-Transfusion-Prediction The project calculates units of blood required for patient's transfusion
FatimaZulfiqar/Image-Captioning
FatimaZulfiqar/liver-fatty-acid-classification
FatimaZulfiqar/Mortality-Detection
FatimaZulfiqar/Pneumonia-Classification-from-X-ray-Images
This repository classifies x-ray images of lung into two classes: i.e. pneumonia class or normal using deep CNN architecture
FatimaZulfiqar/Skin-Cancer-Classification
FatimaZulfiqar/Speaker-Identification-from-Audio
FatimaZulfiqar/split-folders
🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders
FatimaZulfiqar/Tensorflow-Text-to-Speech
FatimaZulfiqar/Text-Generation