WahajAB

Pinned Repositories

8086-Simulator
Assignment Number 1, 2, and 3 of COAL
Language:Dart11
Online-Counseling
Language:PHP02
Real-World-VQA
Visual Question Answering (VQA) related to Real World Images by combining convolutional neural networks (CNNs) and transformer-based language models. Our architecture integrates ResNet50 for image feature extraction and BERT for question encoding. We evaluate our model on the processed DAQUAR dataset.
Language:Jupyter Notebook00
retail_store
Language:Makefile00
Search-Engine
Language:Python00
retail_store
Language:Makefile02
Search-Engine
Language:Python01

WahajAB's Repositories

WahajAB/retail_store
WahajAB/Real-World-VQA
Visual Question Answering (VQA) related to Real World Images by combining convolutional neural networks (CNNs) and transformer-based language models. Our architecture integrates ResNet50 for image feature extraction and BERT for question encoding. We evaluate our model on the processed DAQUAR dataset.
Language:Jupyter Notebook
WahajAB/Online-Counseling
Language:PHP2
WahajAB/Search-Engine
WahajAB/8086-Simulator
Assignment Number 1, 2, and 3 of COAL
Language:Dart11