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1. BERT-based-Question-Answering-with-Stanford-Question-Answering-Dataset-SQuAD- BERT-based-Question-Answering-with-Stanford-Question-Answering-Dataset-SQuAD- Public

   This repository showcases a powerful Question Answering system using the BERT model, fine-tuned on the Stanford Question Answering Dataset (SQuAD).

   Jupyter Notebook

2. Semantic-Segmentation-with-BEiT-and-U-Net-Models Semantic-Segmentation-with-BEiT-and-U-Net-Models Public

   This project implements semantic segmentation on the Semantic Drone Dataset using two models: U-Net and BEiT and achieved over 90% Val Accuracy.

   Jupyter Notebook

3. SQuAD_QA_Transformer-Decoder SQuAD_QA_Transformer-Decoder Public

   A Python implementation for a question-answering task using the T5 Transformer model, trained on the SQuAD dataset. This project demonstrates how to fine-tune a pre-trained T5 model for answering q…

   Jupyter Notebook